The DOI matches its Crossref record; 191 of the 199 references it cites were found in a registry or an index; 83 of the 172 sources its claims cite were checked for support.
Neurobiology of addiction: a neurocircuitry analysis
Open accessAbstract
Drug addiction represents a dramatic dysregulation of motivational circuits that is caused by a combination of exaggerated incentive salience and habit formation, reward deficits and stress surfeits, and compromised executive function in three stages. The rewarding effects of drugs of abuse, development of incentive salience, and development of drug-seeking habits in the binge/intoxication stage involve changes in dopamine and opioid peptides in the basal ganglia. The increases in negative emotional states and dysphoric and stress-like responses in the withdrawal/negative affect stage involve decreases in the function of the dopamine component of the reward system and recruitment of brain stress neurotransmitters, such as corticotropin-releasing factor and dynorphin, in the neurocircuitry of the extended amygdala. The craving and deficits in executive function in the so-called preoccupation/anticipation stage involve the dysregulation of key afferent projections from the prefrontal cortex and insula, including glutamate, to the basal ganglia and extended amygdala. Molecular genetic studies have identified transduction and transcription factors that act in neurocircuitry associated with the development and maintenance of addiction that might mediate initial vulnerability, maintenance, and relapse associated with addiction.
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Claims the paper makes
35 Partly supported · 31 No full text of the sources · 28 Own interpretation · 19 No basis given · 17 Supported · 6 Supported so far · 5 Not checked yet · 2 Mixed support · 1 Couldn’t confirm · accuracy not yet measured
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Key synaptic changes involve glutamate-modulated N-methyl-D-aspartate (NMDA) receptors and α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) receptors in glutamatergic projections from the prefrontal cortex and amygdala to the ventral tegmental area and nucleus accumbens (table 2, circuit 4).”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the binge/intoxication stage > Incentive salience
What the sources say
- Not checked — no full text of the sourcecites [32] Kalivas, 2009, The glutamate homeostasis hypothesis of addiction, Nat Rev Neurosci source
- Partly supportedcites [43] Lüscher, 2011, Drug-evoked synaptic plasticity in addiction: from molecular changes to circuit remodeling, Neuron sourceExperimental — accuracy not yet measured
The Molecular mechanisms sections for the VTA and nucleus accumbens (page numbers unavailable) describe drug-evoked changes involving AMPA and NMDA receptors and identify excitatory inputs from the prefrontal cortex and amygdala. But the VTA section explicitly says it remains unknown which specific inputs undergo drug-evoked plasticity, so the claim is too specific in placing those receptor changes in the named projections. (LLM, conf=0.88)
- Partly supportedcites [46] Wolf, 2010, AMPA receptor plasticity in the nucleus accumbens after repeated exposure to cocaine, Neurosci Biobehav Rev sourceExperimental — accuracy not yet measured
Section 1.1 describes glutamate inputs from cortical and limbic regions to the nucleus accumbens and cocaine-related AMPA receptor plasticity there. Section 5.3 also reports NMDA receptor-dependent plasticity in VTA dopamine neurons. The paper does not establish the claimed receptor changes specifically in projections from both the prefrontal cortex and amygdala to both the VTA and nucleus accumbens. (LLM, conf=0.86)
plaincorrelational- Asserted: passes — The authors put it forward as true.
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The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“A principal focus of research on the neurobiology of the rewarding effects of abused drugs has been the origins and terminal areas of the ascending mesocorticostriatal dopamine systems that have a key role in the rewarding properties of nearly all drugs of abuse (table 1).”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the binge/intoxication stage > Drug reward
What the sources say
- Partly supportedcites [34] Wise, 2009, Roles for nigrostriatal—not just mesocorticolimbic—dopamine in reward and addiction, Trends Neurosci sourceExperimental — accuracy not yet measured
The Introduction and Summary and conclusions describe dopamine as important to reward and addiction, and Intravenous cocaine reward gives evidence for its role in cocaine reward. The paper also emphasizes that nigrostriatal dopamine matters, not just mesocorticolimbic dopamine. Our copy does not establish the claim’s scope of “nearly all drugs of abuse.” No page numbers were provided for these passages. (LLM, conf=0.84)
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Conditioned cues within the incentive salience process appear to drive dopamine signalling to maintain motivation to take the drug, even when its pharmacological effects lessen.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the binge/intoxication stage > Incentive salience
What the sources say
- Partly supportedcites [57] Schultz, 1997, A neural substrate of prediction and reward, Science sourceExperimental — accuracy not yet measured
In “Information Encoded in Dopaminergic Activity” (p. 2), the paper reports that a reward-predicting cue activates dopamine neurons after learning, while the predicted reward no longer produces a phasic response. It does not establish that this occurs through incentive salience, maintains motivation to take a drug, or persists as a drug’s pharmacological effects lessen; the reported cue experiment used a light predicting a reward in monkeys. (LLM, conf=0.86)
- Partly supportedcites [60] Roitman, 2004, Dopamine operates as a subsecond modulator of food seeking, J Neurosci sourceExperimental — accuracy not yet measured
The Discussion (specific page not indexed) reports that learned sucrose-predictive cues evoke dopamine release and links dopamine rises to food-seeking responses. It also compares response initiation for sucrose and cocaine, but does not say that conditioned cues maintain drug-taking motivation as a drug’s pharmacological effects lessen. (LLM, conf=0.86)
- Supportedcites [61] Volkow, 2014, Stimulant-induced dopamine increases are markedly blunted in active cocaine abusers, Mol Psychiatry source
The Introduction (page unavailable) proposes that conditioned drug-reward cues contribute to drugs’ enhanced incentive value and notes that cocaine cues increase dopamine in cocaine abusers. The Conclusion (page unavailable) reports markedly attenuated stimulant-induced dopamine increases despite intense drug craving. Together, these support the sentence’s hedged account of cue-related dopamine signalling and continued motivation. (LLM, conf=0.87)
hedgedconditional- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Both the hypothalamic-pituitary-adrenal axis and brain stress system mediated by CRF are dysregulated by the chronic administration of all major drugs with dependence or abuse potential, with a common response of elevated adrenocorticotropic hormone, corticosterone, and amygdala CRF during acute withdrawal.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the withdrawal/negative affect stage
What the sources say
- Supportedcites [20] Koob, 2014, Addiction as a stress surfeit disorder, Neuropharmacology source
The passage headed “Between-system neuroadaptations that contribute to the negative emotional state that drives negative reinforcement” states the citing sentence’s claim directly. It describes dysregulation of both the HPA axis and the CRF-mediated brain stress system after chronic administration of all major drugs with dependence or abuse potential, with elevated ACTH, corticosterone, and amygdala CRF during acute withdrawal. (LLM, conf=0.95)
- Not checked — no full text of the sourcecites [75] Piazza, 1996, Pathophysiological basis of vulnerability to drug abuse: role of an interaction between stress, glucocorticoids, and dopaminergic neurons, Annu Rev Pharmacol Toxicol source
plaindirect- Asserted: passes — The authors put it forward as true.
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- Based: passes — The paper gives a reason why it holds.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“In humans, positron emission tomography studies have shown that intoxicating doses of alcohol and drugs release dopamine and opioid peptides into the ventral striatum,”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the binge/intoxication stage > Drug reward
What the sources say
- Not checked — no full text of the sourcecites [16] Mitchell, 2012, Alcohol consumption induces endogenous opioid release in the human orbitofrontal cortex and nucleus accumbens, Sci Transl Med source
- Partly supportedcites [35] Volkow, 2007, Profound decreases in dopamine release in striatum in detoxified alcoholics: possible orbitofrontal involvement, J Neurosci sourceExperimental — accuracy not yet measured
The Abstract reports that PET-measured dopamine increased in the ventral striatum after methylphenidate in human subjects, supporting the drug-related dopamine portion. The study used methylphenidate as a challenge in detoxified alcoholics and controls; it does not report that intoxicating alcohol doses release dopamine or that alcohol or drugs release opioid peptides into the ventral striatum. (LLM, conf=0.88)
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Every source the paper cites for this claim was checked and supports it.
In the paper
“In this respect, drugs emulate the increases in dopamine triggered by phasic dopamine firing, which are the firing frequencies of dopamine neurons associated with rewarding stimuli.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the binge/intoxication stage > Drug reward
What the sources say
- Supportedcites [42] Covey, 2014, Illicit dopamine transients: reconciling actions of abused drugs, Trends Neurosci source
The section “Phasic dopamine signaling plays a critical role in appetitive behavior” (page unavailable) says rapid burst firing produces dopamine transients and that natural rewards evoke them. “Abused drugs hijack reward circuits by hyper-activating dopamine transients” (page unavailable) says drug-evoked transients resemble naturally occurring ones, although the drugs produce a greater response. (LLM, conf=0.92)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“In animal models of the transition to addiction, elevations in brain reward thresholds occur that temporally precede and are highly correlated with escalation in drug intake.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the withdrawal/negative affect stage
What the sources say
- Supportedcites [20] Koob, 2014, Addiction as a stress surfeit disorder, Neuropharmacology source
Passage [6] (labeled Abstract; no page given) states that, in animal models of the transition to addiction, changes in brain reward thresholds temporally precede and are highly correlated with escalation in drug intake. Passage [3] specifies that these were elevations in baseline reward thresholds in rats with prolonged access to cocaine. (LLM, conf=0.95)
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“and that fast and steep release of dopamine is associated with the subjective sensation of the so-called high.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the binge/intoxication stage > Drug reward
What the sources say
- Supportedcites [36] Volkow, 2003, The addicted human brain: insights from imaging studies, J Clin Invest source
The “Reward circuit in drug addiction” section (p. 4) says subjects with the greatest dopamine increases experienced the most intense ‘high,’ and that reinforcing effects were associated with both the magnitude and abruptness of the increase. This supports the paraphrase about fast, steep dopamine release and the subjective high. (LLM, conf=0.91)
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“In particular, with chronic drug exposure, neuro-adaptations in the endocannabinoid system, which modulates the response of the brain to stress,85 might contribute to the enhanced stress reactivity in addiction.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the withdrawal/negative affect stage
What the sources say
- Supportedcites [85] Gunduz-Cinar, 2013, Convergent translational evidence of a role for anandamide in amygdala-mediated fear extinction, threat processing and stress-reactivity, Mol Psychiatry source
Citation 85 is attached to the statement that the endocannabinoid system modulates the brain’s response to stress, not to the surrounding claim about chronic drug exposure and addiction. The Conclusions (page not specified) describe the system as an important regulator of stress and emotional processing and report an association with reduced trait stress reactivity. (LLM, conf=0.92)
hedgedconditional- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Equally compelling, κ opioid receptor antagonists, when injected into the nucleus accumbens shell, can block the development of compulsive drug seeking (tables 1, 2, circuit 8).”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the withdrawal/negative affect stage
What the sources say
- Partly supportedcites [76] Walker, 2008, Pharmacological evidence for a motivational role of κ-opioid systems in ethanol dependence, Neuropsychopharmacology sourceExperimental — accuracy not yet measured
The Drugs section says the κ-opioid receptor antagonist nor-BNI was injected into the lateral ventricles, not the nucleus accumbens shell. The Nor-Binaltorphimine results report reduced ethanol self-administration in dependent rats during withdrawal, not prevention of the development of compulsive drug seeking. The claim captures an effect of κ-opioid antagonism on drug-related responding but changes both the injection site and the outcome. (LLM, conf=0.90)
- Partly supportedcites [77] Schlosburg, 2013, Long-term antagonism of κ opioid receptors prevents escalation of and increased motivation for heroin intake, J Neurosci sourceExperimental — accuracy not yet measured
Experiment 3 reports that injecting the κ opioid receptor antagonist nor-BNI into the nucleus accumbens shell prevented escalation of heroin intake and reduced motivation for heroin in long-access rats. The Abstract describes the measured responding as “compulsive-like.” The claim omits those limits and states more broadly that the injection blocks the development of compulsive drug seeking. (LLM, conf=0.85)
- Partly supportedcites [78] Whitfield, 2015, κ opioid receptors in the nucleus accumbens shell mediate escalation of methamphetamine intake, J Neurosci sourceExperimental — accuracy not yet measured
The section on direct nor-BNI injection into the NAc shell (page not provided) reports that the antagonist prevented the emergence and/or expression of escalated methamphetamine intake in rats. It does not establish that injection specifically blocks the development of compulsive drug seeking across drugs: the authors leave development versus expression unresolved and describe the measured behavior as compulsive-like methamphetamine seeking and taking. (LLM, conf=0.88)
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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- Partly supported
- It may state two separate claims as one. 66
- Probably not a substantial claim. 9
- The quote only partly states this claim. 1
Some cited sources support this claim and some don’t — read each source’s verdict below.
In the paper
“By contrast, D2 receptors, which inhibit cAMP signalling, are stimulated by both phasic and tonic dopamine and are not deemed necessary for drug reward.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the binge/intoxication stage > Incentive salience
What the sources say
- Partly supportedcites [40] Caine, 2002, Role of dopamine D2-like receptors in cocaine self-administration: studies with D2 receptor mutant mice and novel D2 receptor antagonists, J Neurosci sourceExperimental — accuracy not yet measured
The receptor-binding section describes dopamine agonist–mediated inhibition of cAMP accumulation, and the Discussion concludes that D2 receptors are not necessary for cocaine’s reinforcing effects in the mice studied (page numbers unavailable). The paper does not address stimulation by both phasic and tonic dopamine; it also reports that D2 receptors may be necessary for self-administration of some other drugs, so the broader claim about drug reward is not supported. (LLM, conf=0.88)
- Disputedcites [64] Bello, 2011, Cocaine supersensitivity and enhanced motivation for reward in mice lacking dopamine D2 autoreceptors, Nat Neurosci sourceExperimental — accuracy not yet measured
The Introduction and Discussion distinguish D2 autoreceptors from D2 receptors generally. They report that mice lacking all D2 receptors have impaired or absent drug-reward responses, contrary to the claim that D2 receptors are not deemed necessary for drug reward; mice lacking only D2 autoreceptors instead show enhanced cocaine reward. The cited passages do not establish the cAMP or tonic-dopamine parts of the sentence. (LLM, conf=0.85)
Checked by a reasoning model — may be wrong.
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
Some cited sources support this claim and some don’t — read each source’s verdict below.
In the paper
“The blockade of metabotropic glutamate 1 receptors in the nucleus accumbens blocks cue-induced incubation reinstatement and cocaine-primed reinstatement; as a result, these receptors are potential therapeutic targets.145,146”
§ Neurobiology of addiction: a neurocircuitry analysis > Molecular and genetic treatment targets within brain circuits associated with addiction
What the sources say
- Partly supportedcites [145] Schmidt, 2015, Group I metabotropic glutamate receptor-mediated activation of PKC γ in the nucleus accumbens core promotes the reinstatement of cocaine seeking, Addict Biol sourceExperimental — accuracy not yet measured
The Results and Discussion (pages unavailable) report that blocking mGluR1 in the accumbens core attenuated cocaine-primed reinstatement. They do not establish that it blocks cue-induced incubation reinstatement; the cue-related finding discussed concerns mGluR5. The claim also overstates attenuation as complete blockade and omits the core-specific qualification: the Introduction reports no effect of mGluR1 blockade in the accumbens shell. (LLM, conf=0.88)
- Disputedcites [146] Loweth, 2014, Synaptic depression via mGluR1 positive allosteric modulation suppresses cue-induced cocaine craving, Nat Neurosci sourceExperimental — accuracy not yet measured
The Results section (‘The level of mGluR1 transmission regulates incubation’; page unavailable) says enhancing mGluR1 transmission prevented incubation, while mGluR1 antagonist treatment accelerated a synaptic change associated with it. The Discussion likewise proposes positive allosteric modulators—not blockade—to reduce incubated cue-induced craving. The cited paper does not report a cocaine-primed reinstatement result. (LLM, conf=0.90)
Checked by a reasoning model — may be wrong.
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“One particularly influential series of studies in non-human primates indicated that midbrain dopamine cells initially fired in response to a novel reward. After repeated exposure, the neurons stopped firing during predictable reward delivery and instead fired when they were exposed to stimuli that were predictive of the reward.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the binge/intoxication stage > Incentive salience
What the sources say
- Supportedcites [57] Schultz, 1997, A neural substrate of prediction and reward, Science source
The Information Encoded in Dopaminergic Activity section (p. 2) describes recordings from alert monkeys: before training, dopamine neurons respond to an unpredicted reward; after learning, the predicted reward no longer elicits a phasic response, while the reward-predicting light does. Here, “stop firing” is supported as the loss of the reward-evoked phasic response, not a cessation of all neuronal activity. (LLM, conf=0.93)
hedgeddirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
The cited sources that could be checked couldn’t confirm or dispute this claim.
In the paper
“Other observed changes include increases in μ opioid receptor responsivity during opioid withdrawal,71,72 and decreases in GABAergic and increases in NMDA glutamatergic transmission in the nucleus accumbens.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the withdrawal/negative affect stage
What the sources say
- Not checked — no full text of the sourcecites [71] Stinus, 1990, Nucleus accumbens and amygdala are possible substrates for the aversive stimulus effects of opiate withdrawal, Neuroscience source
- Could not verifycites [72] Minkowski, 2012, Differential response to IV carfentanil in chronic cocaine users and healthy controls, Addict Biol sourceExperimental — accuracy not yet measured
The citation is attached to the claim of increased μ-opioid receptor responsivity during opioid withdrawal, not the later GABAergic/NMDA clause. The Discussion (page unavailable) examines cocaine abstinence instead and reports fewer adverse effects from a μ-opioid receptor agonist in cocaine users than in controls. A search for opioid withdrawal and receptor responsivity found no passage addressing the cited claim. (LLM, conf=0.76)
- Not checked — no full text of the sourcecites [73] Davidson, 1995, Increased NMDA-induced excitability during ethanol withdrawal: a behavioural and histological study, Brain Res source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Such changes include decreases in dopaminergic and serotonergic transmission in the nucleus accumbens during drug withdrawal as measured by in-vivo microdialysis in rats69 and brain imaging studies in humans, in which amphetamine-induced or methylphenidate-induced striatal dopamine responses are 50% lower in detoxified abusers and 80% lower in active abusers, and accompanied by lower self-reports”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the withdrawal/negative affect stage
What the sources say
- Not checked — no full text of the sourcecites [25] Martinez, 2007, Amphetamine-induced dopamine release: markedly blunted in cocaine dependence and predictive of the choice to self-administer cocaine, Am J Psychiatry source
- Partly supportedcites [35] Volkow, 2007, Profound decreases in dopamine release in striatum in detoxified alcoholics: possible orbitofrontal involvement, J Neurosci sourceExperimental — accuracy not yet measured
The Abstract reports methylphenidate-induced dopamine responses 70% lower in ventral striatum and 50% lower in putamen in detoxified alcoholics versus controls. The Behavioral responses to MP section reports lower self-rated drug liking and high in the alcoholic group. The paper does not report an 80% reduction in active abusers; the withdrawal-related dopamine and serotonin finding appears only in the title of a rat study listed in References, not as a finding of this study. (LLM, conf=0.88)
- Not checked — no full text of the sourcecites [70] Volkow, 1997, Decreased striatal dopaminergic responsiveness in detoxified cocaine-dependent subjects, Nature source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“This hypothesis is also consistent with the finding that α5 nicotinic acetylcholine receptors in the habenula appear to modulate aversive responses to large doses of nicotine48 and, along with habenular α2 receptors, nicotine withdrawal (tables 1, 2, circuit 9).”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the withdrawal/negative affect stage
What the sources say
- Supportedcites [48] Fowler, 2011, Habenular α5 nicotinic receptor subunit signalling controls nicotine intake, Nature source
Citation 48 is attached to the claim about α5 receptors and aversive responses to high nicotine doses, not the subsequent withdrawal claim. The Abstract reports that α5 knockdown in the medial habenula abolished the inhibitory effects of higher nicotine doses on brain reward systems; the IPN activation section also reports that an aversive high dose activated the IPN in wildtype mice but not α5 knockout mice. The supplied passages have section labels but no page numbers. (LLM, conf=0.92)
- Not checked — no full text of the sourcecites [82] Salas, 2009, Nicotinic receptors in the habenulo-interpeduncular system are necessary for nicotine withdrawal in mice, J Neurosci source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Imaging studies have also revealed that cues associated with cocaine craving increase dopamine release in the striatum, amygdala, and prefrontal cortex (anterior cingulate and medial orbitofrontal cortex) and opioid peptides in the anterior cingulate and frontal cortex.9,31,106,107”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the preoccupation/anticipation stage
What the sources say
- Partly supportedcites [9] Koob, 2010, Neurocircuitry of addiction, Neuropsychopharmacology sourceExperimental — accuracy not yet measured
The Ventral Striatum/Dorsal Striatum/Thalamus section (page not provided) reports that drug-associated cues increase dopamine in the dorsal striatum and that the increase correlates with craving. It also links the amygdala and prefrontal cortex to cue-induced craving, but does not report cue-induced dopamine release in those regions. The cited passages do not support increased opioid peptides in the anterior cingulate or frontal cortex. (LLM, conf=0.88)
- Not checked — no full text of the sourcecites [31] Fotros, 2013, Cocaine cue-induced dopamine release in amygdala and hippocampus: a high-resolution PET [18F]fallypride study in cocaine dependent participants, Neuropsychopharmacology source
- Not checked — no full text of the sourcecites [106] Volkow, 2006, Cocaine cues and dopamine in dorsal striatum: mechanism of craving in cocaine addiction, J Neurosci source
- Partly supportedcites [107] Milella, 2016, Cocaine cue-induced dopamine release in the human prefrontal cortex, J Psychiatry Neurosci sourceExperimental — accuracy not yet measured
The Results and Discussion report cocaine cue-associated dopamine release in the striatum and prefrontal cortex, strongest in the medial orbitofrontal cortex, with a threshold response in the anterior cingulate. The paper does not report its own amygdala dopamine finding, though its References name a separate study on that region; a search for opioid peptides found no supporting passage. Thus it supports only part of the sentence attributed to it. (LLM, conf=0.88)
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“In a study of patients with obsessive-compulsive disorder, patients showed enhanced avoidance habits compared with controls following overtraining on a shock avoidance task, providing support for a habit account of obsessive-compulsive disorder.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the withdrawal/negative affect stage
What the sources say
- Supportedcites [83] Gillan, 2014, Enhanced avoidance habits in obsessive-compulsive disorder, Biol Psychiatry source
The Methods describe a shock-avoidance task designed to induce habits through overtraining. The Results report that, following overtraining, patients with OCD showed greater avoidance habits than controls; the Discussion interprets their responses as habits rather than goal-directed avoidance, supporting a habit account. (LLM, conf=0.94)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Decreases in the release of dopamine in the nucleus accumbens can also be driven by increases in the activity of the dynorphin-κ opioid receptor system in the ventral striatum and possibly increases in the activity of CRF in the ventral tegmental area, which contributes to the negative emotional state associated with withdrawal and protracted abstinence.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the withdrawal/negative affect stage
What the sources say
- Partly supportedcites [20] Koob, 2014, Addiction as a stress surfeit disorder, Neuropharmacology sourceExperimental — accuracy not yet measured
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
- Not checked — no full text of the sourcecites [21] Carlezon, 2000, Herpes simplex virus-mediated gene transfer as a tool for neuropsychiatric research, Crit Rev Neurobiol source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“In rats, the prefrontal cortex (mainly prelimbic cortex, and some infralimbic cortex) sends glutamatergic projections directly to mesocortical dopamine neurons in the ventral tegmental area, thus exerting excitatory control over dopamine cell firing and dopamine release in the prefrontal cortex90”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the preoccupation/anticipation stage
What the sources say
- Partly supportedcites [90] Geisler, 2008, Functional implications of glutamatergic projections to the ventral tegmental area, Rev Neurosci sourceExperimental — accuracy not yet measured
Section 2.3 describes a predominantly glutamatergic projection from the prefrontal cortex to the VTA, concentrated in prelimbic cortex with a lesser contribution from infralimbic cortex, and says its axons synapse onto mesocortical dopamine neurons. The Introduction reports that activation of an excitatory prefrontal-to-VTA pathway induces dopamine-neuron burst firing. But the functional-anatomy discussion also emphasizes indirect pathways and inhibition of many dopamine neurons; our copy does not establish the claimed excitatory control of dopamine release specifically in the prefrontal cortex. (LLM, conf=0.88)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Indeed, Volkow and colleagues36 and Goldstein and Volkow14 have described a syndrome that is characterised by excessive salience to drug-paired cues, decreases in the responsiveness to non-drug rewards, and decreases in the ability to inhibit maladaptive behaviour.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the preoccupation/anticipation stage
What the sources say
- Supportedcites [36] Volkow, 2003, The addicted human brain: insights from imaging studies, J Clin Invest source
Figure 3 (p. 3) describes heightened salience of drugs and their associated cues alongside markedly reduced salience of other reinforcers. The Control circuit in addiction section (p. 6) describes disrupted self-control and inhibitory control, supporting the claim’s third component. (LLM, conf=0.93)
- Not checked — no full text of the sourcecites [14] Goldstein, 2011, Dysfunction of the prefrontal cortex in addiction: neuroimaging findings and clinical implications, Nat Rev Neurosci source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“alcohol use during adolescence might lead to epigenetic modifications that alter amygdalar gene expression and dendritic density, increasing susceptibility to anxiety-like behaviours and alcohol ingestion in adulthood.140”
§ Neurobiology of addiction: a neurocircuitry analysis > Molecular and genetic treatment targets within brain circuits associated with addiction
What the sources say
- Supportedcites [140] Pandey, 2015, Potential role of adolescent alcohol exposure-induced amygdaloid histone modifications in anxiety and alcohol intake during adulthood, Neurobiol Dis source
The Discussion (page unavailable) reports that adolescent intermittent ethanol exposure produced persistent amygdalar histone changes, reduced BDNF and Arc expression and dendritic spines, and anxiety-like and alcohol-drinking behaviours in adult rats. This supports the claim’s hedged account; the study’s direct evidence is in rats. (LLM, conf=0.93)
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Even more compelling, blockade of the mTORC1 pathway systemically blocked the reconsolidation of cocaine memories,150 and blockade of mTORC1 in the amygdala blocked the reconsolidation of alcohol memories;151 these results suggest a potential molecular target for the treatment of relapse.”
§ Neurobiology of addiction: a neurocircuitry analysis > Molecular and genetic treatment targets within brain circuits associated with addiction
What the sources say
- Partly supportedcites [150] Shi, 2014, Reactivation of cocaine reward memory engages the Akt/GSK3/mTOR signaling pathway and can be disrupted by GSK3 inhibition, Psychopharmacology (Berl) sourceExperimental — accuracy not yet measured
The Methods and Results report that systemic injection of the GSK3 inhibitor SB216763 after memory reactivation disrupted reconsolidation of cocaine reward memory. They do not report systemic blockade of mTORC1; the Discussion describes reduced mTORC1 phosphorylation after memory reactivation, not an mTORC1-blockade experiment. The alcohol-memory finding has a separate citation in the citing sentence and is not attributed to this paper. (LLM, conf=0.88)
- Supportedcites [151] Barak, 2013, Disruption of alcohol-related memories by mTORC1 inhibition prevents relapse, Nat Neurosci source
The Abstract reports that central amygdalar mTORC1 inhibition during reconsolidation disrupted alcohol-cue memories and produced long-lasting suppression of relapse. The Discussion identifies mTORC1-mediated disruption of reconsolidation as a potential strategy to prevent alcohol relapse. The cocaine finding is attached to a different citation, not this one. (LLM, conf=0.93)
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Consistent with this hypothesis, imaging studies have reported differential activation of the insula during craving, possibly reflecting interoceptive cues and hypothesised to involve CRF activation (table 2, circuit 18).54,117,118”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the preoccupation/anticipation stage
What the sources say
- Partly supportedcites [54] Naqvi, 2009, The hidden island of addiction: the insula, Trends Neurosci sourceExperimental — accuracy not yet measured
The Evidence for the role of the insula in addiction section reports imaging activation of the insula during drug urges, and the Proposed role section links those urges to interoceptive representations. The Anatomy and function section notes CRF receptors in the insula and a possible role in stress-related motivation to take drugs, but it does not link the reported imaging activation during craving to CRF activation. (LLM, conf=0.86)
- Not checked — no full text of the sourcecites [117] Sánchez, 1999, Autoradiographic and in situ hybridization localization of corticotropin-releasing factor 1 and 2 receptors in nonhuman primate brain, J Comp Neurol source
- Partly supportedcites [118] Goudriaan, 2010, Brain activation patterns associated with cue reactivity and craving in abstinent problem gamblers, heavy smokers and healthy controls: an fMRI study, Addict Biol sourceExperimental — accuracy not yet measured
The Results (fMRI cue reactivity; page unavailable) report a positive association between gambling craving and left anterior insula activation, supporting the insula–craving portion of the claim. The passages do not link that activation to interoceptive cues or hypothesise CRF activation. (LLM, conf=0.86)
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Specifically, the infralimbic medial prefrontal cortex-to-nucleus accumbens shell circuit recruits calcium-permeable AMPA receptors,144 and the prelimbic medial prefrontal cortex-to-nucleus accumbens core circuit recruits non-calcium-permeable AMPA receptors.”
§ Neurobiology of addiction: a neurocircuitry analysis > Molecular and genetic treatment targets within brain circuits associated with addiction
What the sources say
- Partly supportedcites [144] Conrad, 2008, Formation of accumbens GluR2-lacking AMPA receptors mediates incubation of cocaine craving, Nature sourceExperimental — accuracy not yet measured
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“The Go system could drive craving and engage habits via the basal ganglia.105,127”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the preoccupation/anticipation stage
What the sources say
- Supportedcites [105] Jasinska, 2014, Factors modulating neural reactivity to drug cues in addiction: a survey of human neuroimaging studies, Neurosci Biobehav Rev source
Section 3.1 describes drug cues eliciting dopamine release and craving, and links the ventral striatum to the basal ganglia’s action output. Section 3.2 links dorsal-striatal circuits to the development and expression of drug-seeking habits. The paper does not use the term “Go system,” but it supports the mechanisms described in this paraphrase. (LLM, conf=0.86)
- Could not verifycites [127] Niendam, 2012, Meta-analytic evidence for a superordinate cognitive control network subserving diverse executive functions, Cogn Affect Behav Neurosci sourceExperimental — accuracy not yet measured
The Discussion (page unavailable) reports caudate and putamen activation in executive-function tasks, but does not connect those regions to a Go system, craving, or habits. Searches for those terms and for basal-ganglia, striatal, reward, and motivational mechanisms found no passage addressing the claim. (LLM, conf=0.76)
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Methamphetamine-dependent individuals with striatal D2 receptor availability within the normal range had better treatment outcomes, potentially reflecting a greater ability to acquire new reward-related behaviours and the pursuit of healthy goals.126”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the preoccupation/anticipation stage
What the sources say
- Supportedcites [126] Wang, 2012, Decreased dopamine activity predicts relapse in methamphetamine abusers, Mol Psychiatry source
The Abstract reports that participants who completed detoxification did not differ from healthy controls in striatal D2 receptor availability, whereas those who relapsed had lower availability. The Discussion proposes that dopamine-depleted participants may have more difficulty shifting reward-directed behavior toward natural reinforcers, consistent with the claim’s tentative explanation. The source does not report directly measuring the acquisition of healthy behaviors. (LLM, conf=0.88)
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“The Stop system could control assessment of the incentive value of choices and suppression of affective responses to negative emotional signals.130–132”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the preoccupation/anticipation stage
What the sources say
- Not checked — no full text of the sourcecites [130] Damasio, 1996, The somatic marker hypothesis and the possible functions of the prefrontal cortex, Philos Trans R Soc Lond B Biol Sci source
- Not checked — no full text of the sourcecites [131] Bechara, 1999, Different contributions of the human amygdala and ventromedial prefrontal cortex to decision-making, J Neurosci source
- Partly supportedcites [132] Johnstone, 2007, Failure to regulate: counterproductive recruitment of top-down prefrontal-subcortical circuitry in major depression, J Neurosci sourceExperimental — accuracy not yet measured
The Introduction and Materials and Methods (page unavailable) describe top-down regulation and attempts to suppress emotional responses to negative pictures. The paper does not address a “Stop system” assessing the incentive value of choices, so that part of the claim is unsupported. (LLM, conf=0.85)
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Tobacco smokers with damage to the insula (but not control smokers with extra non-insular lesions) were able to stop smoking easily and without experiencing cravings or relapse.114”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the preoccupation/anticipation stage
What the sources say
- Partly supportedcites [114] Naqvi, 2007, Damage to the insula disrupts addiction to cigarette smoking, Science sourceExperimental — accuracy not yet measured
The paper’s results (section labelled Abstract; page unavailable) report that 12 of 13 smokers who quit after insula damage met criteria including easy quitting, no relapse, and no subsequent urges, compared with 4 of 19 quitters with non-insular lesions. The contrast is supported, but “not control smokers” is too absolute: four controls also met those criteria, and not every smoker with insula damage quit. (LLM, conf=0.90)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“These low levels of striatal D2 receptors have been associated with decreases in baseline glucose metabolism (ie, a marker of brain function) in the prefrontal cortex (including dorsolateral prefrontal cortex, anterior cingulate gyrus, and medial orbitofrontal cortex),35,123,124 impulsivity in methamphetamine abusers,125 and compulsive cocaine administration in rodents.15”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the preoccupation/anticipation stage
What the sources say
- Partly supportedcites [35] Volkow, 2007, Profound decreases in dopamine release in striatum in detoxified alcoholics: possible orbitofrontal involvement, J Neurosci sourceExperimental — accuracy not yet measured
The Results section reports that baseline striatal D2/D3 receptor availability correlated with glucose metabolism in the cingulate gyrus and dorsolateral prefrontal cortex in detoxified alcoholics, but not controls. It does not report a baseline-receptor correlation with medial orbitofrontal metabolism; its orbitofrontal finding concerns methylphenidate-induced dopamine changes. The later impulsivity and rodent clauses have separate citations and are not attributed to this source. (LLM, conf=0.86)
- Not checked — no full text of the sourcecites [123] Volkow, 1993, Decreased dopamine D2 receptor availability is associated with reduced frontal metabolism in cocaine abusers, Synapse source
- Not checked — no full text of the sourcecites [124] Volkow, 2001, Low level of brain dopamine D2 receptors in methamphetamine abusers: association with metabolism in the orbitofrontal cortex, Am J Psychiatry source
- Supportedcites [125] Lee, 2009, Striatal dopamine d2/d3 receptor availability is reduced in methamphetamine dependence and is linked to impulsivity, J Neurosci source
The Discussion reports a significant negative relationship between striatal D2/D3 receptor availability and impulsiveness in methamphetamine-dependent subjects. In the citing sentence, this paper is citation 125, attached to the impulsivity finding; the glucose-metabolism and rodent findings have other citations. (LLM, conf=0.94)
- Not checked — no full text of the sourcecites [15] Everitt, 2008, Review. Neural mechanisms underlying the vulnerability to develop compulsive drug-seeking habits and addiction, Philos Trans R Soc Lond B Biol Sci source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Notably, in animal models, dopamine D1 receptor knockout rats will not self-administer cocaine37 and μ opioid receptor knockout mice will not show the rewarding effects of opioids.153”
§ Neurobiology of addiction: a neurocircuitry analysis > Molecular and genetic treatment targets within brain circuits associated with addiction
What the sources say
- Partly supportedcites [37] Caine, 2007, Lack of self-administration of cocaine in dopamine D1 receptor knock-out mice, J Neurosci sourceExperimental — accuracy not yet measured
The Abstract and Discussion report that dopamine D1 receptor knock-out mice did not reliably self-administer cocaine. The citing sentence says rats, but this study tested mice. The separate claim about μ opioid receptor knock-out mice is attached to a different citation and is not assessed here. (LLM, conf=0.90)
- Not checked — no full text of the sourcecites [153] Matthes, 1996, Loss of morphine-induced analgesia, reward effect and withdrawal symptoms in mice lacking the μ-opioid-receptor gene, Nature source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“As such, mTORC1 plays a major role in the molecular mechanisms associated with learning and memory147 and is involved in several brain disorders, including epilepsy, Parkinson’s disease, Alzheimer’s disease, and addiction.148,149”
§ Neurobiology of addiction: a neurocircuitry analysis > Molecular and genetic treatment targets within brain circuits associated with addiction
What the sources say
- Supportedcites [147] Costa-Mattioli, 2009, Translational control of long-lasting synaptic plasticity and memory, Neuron source
The section ‘The mTOR Signaling Pathway Is Important for Synaptic Plasticity’ (p. 5) says proper control of mTORC1 signaling is crucial for long-lasting synaptic plasticity and memory consolidation. Citation 147 is attached to the learning-and-memory clause; the brain-disorder list is attached to citations 148 and 149 and is not attributed to this source. (LLM, conf=0.93)
- Not checked — no full text of the sourcecites [148] Costa-Mattioli, 2013, mTOR complexes in neurodevelopmental and neuropsychiatric disorders, Nat Neurosci source
- Supportedcites [149] Neasta, 2014, mTOR complex 1: a key player in neuroadaptations induced by drugs of abuse, J Neurochem source
The Introduction states that mTORC1 plays a major role in learning and memory and appears dysregulated in epilepsy, Parkinson’s disease, and Alzheimer’s disease. The “mTORC1 in the central nervous system” section also identifies addiction as a disorder involving malfunction of this pathway. Page numbers were not provided in our copy. (LLM, conf=0.94)
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Positron emission tomography studies have uncovered substantial reductions of D2 receptor availability in the striatum in individuals with addiction that persist for months after protracted detoxification, which have also been observed in preclinical studies in rodents and non-human primates with repeated drug exposure.122”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the preoccupation/anticipation stage
What the sources say
- Partly supportedcites [122] Volkow, 2009, Imaging dopamine's role in drug abuse and addiction, Neuropharmacology sourceExperimental — accuracy not yet measured
Split into 2 atoms — 1 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Our contention is that the field of the neurobiology of addiction has excellent and validated animal models and well developed clinical models that, combined with the neurocircuitry analysis herein, will provide a unique approach to medication development that emphasises excessive incentive salience, the loss of brain reward function, and the gain of stress function that drive negative reinfor”
§ Neurobiology of addiction: a neurocircuitry analysis > Implications for medication development
What the sources say
- Not checked — no full text of the sourcecites [13] Koob, 2016, Existing and future drugs for the treatment of the dark side of addiction, Annu Rev Pharmacol Toxicol source
- Partly supportedcites [185] Koob, 2009, Development of pharmacotherapies for drug addiction: a Rosetta stone approach, Nat Rev Drug Discov sourceExperimental — accuracy not yet measured
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Drug exposure during adolescence is associated with more chronic and intensive use and greater risk of a substance use disorder than is initiation at older ages.167,169–172”
§ Neurobiology of addiction: a neurocircuitry analysis > Developmental exposure as a key component of vulnerability for drug and alcohol use disorders
What the sources say
- Partly supportedcites [167] Spear, 2013, Adolescent neurodevelopment, J Adolesc Health sourceExperimental — accuracy not yet measured
In “Broad implications of recent research for adolescent policy and programs” (page unavailable), the paper says adolescent responses to rewards may encourage continued and escalating drug use and lead to problematic involvement. It does not establish that people first exposed during adolescence have more chronic or intensive use, or a greater risk of substance use disorder, than people who initiate at older ages. (LLM, conf=0.82)
- Not checked — no full text of the sourcecites [169] Grant, 2001, Age at onset of alcohol use and DSM-IV alcohol abuse and dependence: a 12-year follow-up study, J Subst Abuse source
- Not matchedcites [170] Volkow, 2006, Altered pathways: drug abuse and age of onset, Addict Professional
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not checked — no full text of the sourcecites [171] Hingson, 2006, Age of alcohol-dependence onset: associations with severity of dependence and seeking treatment, Pediatrics source
- Not checked — no full text of the sourcecites [172] King, 2007, A prospective study of the effects of age of initiation of alcohol and drug use on young adult substance dependence, J Stud Alcohol Drugs source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Advances in diagnosis that reflect such an endophenotype or research domain criterion approach will synergistically combine with advances in neurobiology to promote novel pharmacotherapeutic, brain stimulation (ie, transcranial magnetic stimulation and direct electrical stimulation), and behavioural treatments.186”
§ Neurobiology of addiction: a neurocircuitry analysis > Implications for medication development
What the sources say
- Partly supportedcites [186] Kwako, 2015, Addictions neuroclinical assessment: a neuroscience-based framework for addictive disorders, Biol Psychiatry sourceExperimental — accuracy not yet measured
The Introduction’s “Changes in Nosology” section says that a mechanistically informed approach to diagnosis may identify improved treatments and better match patients to them; it discusses both medications and behavioural treatments. It does not support the more definite prediction that diagnostic and neurobiological advances will synergistically produce novel treatments, and the passages found do not address brain stimulation. Page numbers are unavailable in our copy. (LLM, conf=0.84)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“From the perspective of the preoccupation/anticipation stage, a genetic knock-in mouse that bio logically recapitulates a common human mutation in the gene for fatty acid amide hydrolase (C385A [Pro129Thr], rs324420) presented a reduction of fatty acid amide hydrolase expression associated with the variant allele that selectively enhanced fronto-amygdala connectivity and fear extinction learning”
§ Neurobiology of addiction: a neurocircuitry analysis > Molecular and genetic treatment targets within brain circuits associated with addiction
What the sources say
- Supportedcites [165] Dincheva, 2015, FAAH genetic variation enhances fronto-amygdala function in mouse and human, Nat Commun source
Split into 2 atoms — 2 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Experimentation, as well as the process of addiction, most often starts in adolescence,166 a period during which the brain undergoes important developmental changes.167”
§ Neurobiology of addiction: a neurocircuitry analysis > Developmental exposure as a key component of vulnerability for drug and alcohol use disorders
What the sources say
- Not checked — no full text of the sourcecites [166] Wagner, 2002, From first drug use to drug dependence; developmental periods of risk for dependence upon marijuana, cocaine, and alcohol, Neuropsychopharmacology source
- Supportedcites [167] Spear, 2013, Adolescent neurodevelopment, J Adolesc Health source
Citation 167 is attached to the statement that the brain undergoes important developmental changes during adolescence; the preceding claim about when experimentation and addiction start has citation 166. The paper’s “Synaptic pruning and myelination” section describes substantial adolescent changes in synaptic connections and myelination. (LLM, conf=0.93)
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Normal adolescent-specific behaviours (eg, risk-taking, novelty-seeking, and high sensitivity to peer pressure) increase the propensity to experiment with legal and illegal drugs,167 which might reflect the incomplete development of brain regions (eg, myelination of frontal lobe regions) that are involved in the processes of executive control and motivation.168”
§ Neurobiology of addiction: a neurocircuitry analysis > Developmental exposure as a key component of vulnerability for drug and alcohol use disorders
What the sources say
- Partly supportedcites [167] Spear, 2013, Adolescent neurodevelopment, J Adolesc Health sourceExperimental — accuracy not yet measured
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
- Not checked — no full text of the sourcecites [168] Giedd, 1999, Brain development during childhood and adolescence: a longitudinal MRI study, Nat Neurosci source
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“The mechanisms that are responsible for stress-induced increases in vulnerability to drug use and relapse in those who are addicted are not yet well understood, but evidence suggests that the stress-responsive neuropeptide CRF is involved through its effects in the amygdala and hypothalamic-pituitary-adrenal axis.20”
§ Neurobiology of addiction: a neurocircuitry analysis > Developmental exposure as a key component of vulnerability for drug and alcohol use disorders
What the sources say
- Supportedcites [20] Koob, 2014, Addiction as a stress surfeit disorder, Neuropharmacology source
The paper’s Abstract describes CRF activity in the extended amygdala and links the hypothalamic-pituitary-adrenal axis to dysregulation of CRF stress systems. It also proposes that a sensitized stress state makes acute stressors more likely to elicit drug seeking during vulnerability to relapse. No page numbers are available in our copy. (LLM, conf=0.88)
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“For example, genome-wide association studies have implicated two acetylcholine receptors, the α4 nicotinic receptor subunit157 and α5 nicotinic receptor subunit,158 in the vulnerability to nicotine dependence and a single-nucleotide polymorphism associated with regulating the trafficking and gating properties of AMPA-selective glutamate receptors (CNIH3) in opioid dependence.159”
§ Neurobiology of addiction: a neurocircuitry analysis > Molecular and genetic treatment targets within brain circuits associated with addiction
What the sources say
- Supportedcites [157] Hancock, 2015, Genome-wide meta-analysis reveals common splice site acceptor variant in CHRNA4 associated with nicotine dependence, Transl Psychiatr source
Citation 157 is attached to the α4 nicotinic receptor subunit, not the separately cited α5 and CNIH3 claims. The Introduction reports that the GWAS meta-analysis identified CHRNA4, which encodes the α4 subunit, as a genome-wide significant locus for nicotine dependence; the Results report the association in European-ancestry ever smokers. (LLM, conf=0.93)
- Supportedcites [158] Olfson, 2016, Rare, low frequency and common coding variants in CHRNA5 and their contribution to nicotine dependence in European and African Americans, Mol Psychiatry source
Citation 158 is attached to the α5 subunit claim, not the separate α4 or CNIH3 claims. The Introduction (page unavailable) reports that a common CHRNA5 variant is associated with nicotine dependence, and the Results (page unavailable) report increased risk in European and African Americans. (LLM, conf=0.92)
- Partly supportedcites [159] Nelson, 2016, Evidence of CNIH3 involvement in opioid dependence, Mol Psychiatry sourceExperimental — accuracy not yet measured
The Results (Confirmation of association findings) report genome-wide significant associations between CNIH3 SNPs and opioid dependence, while the Discussion describes CNIH3 as an AMPA-receptor auxiliary protein that affects receptor deactivation and desensitization. The paper does not establish that an associated SNP itself regulates AMPA-receptor trafficking or gating. Citation 159 is attached to the opioid-dependence clause, not the separate nicotine-dependence claims. (LLM, conf=0.83)
plaincorrelational- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
- Supported
In the paper
“D3 receptors, which are high-affinity dopamine receptors and co-localise in the nucleus accumbens with D1 receptors, are also associated with drug-seeking behaviour.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the binge/intoxication stage > Incentive salience
What the sources say
- Not checked — no full text of the sourcecites [65] Vorel, 2002, Dopamine D3 receptor antagonism inhibits cocaine-seeking and cocaine-enhanced brain reward in rats, J Neurosci source
plaincorrelational- Asserted: passes — The authors put it forward as true.
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In the paper
“However, impulsivity and compulsivity can coexist, and frequently do so in the different stages of the addiction cycle.”
§ Neurobiology of addiction: a neurocircuitry analysis > Conceptual framework, definitions, and animal models
What the sources say
- Not checked — no full text of the sourcecites [8] Berlin, 2014, Compulsivity, impulsivity, and the DSM-5 process, CNS Spectr source
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Although no animal model of addiction fully emulates the human condition, they permit investigations of specific signs or symptoms that are associated with the psychopathological condition.”
§ Neurobiology of addiction: a neurocircuitry analysis > Conceptual framework, definitions, and animal models
plain- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“Differential regional changes in nicotinic receptor function in the nucleus accumbens and ventral tegmental area in nicotine, alcohol, and other addictions have also been reported, implicating α4β2 nicotinic receptor subtypes.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the withdrawal/negative affect stage
What the sources say
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Addiction can be conceptualised as a three-stage, recurring cycle—binge/intoxication, withdrawal/negative affect, and preoccupation/anticipation (craving)—that worsens over time and involves neuroplastic changes in the brain reward, stress, and executive function systems.”
§ Neurobiology of addiction: a neurocircuitry analysis > Conceptual framework, definitions, and animal models
What the sources say
- Not checked — no full text of the sourcecites [4] Koob, 1997, Drug abuse: hedonic homeostatic dysregulation, Science source
- Not checked — no full text of the sourcecites [5] Goldstein, 2002, Drug addiction and its underlying neurobiological basis: neuroimaging evidence for the involvement of the frontal cortex, Am J Psychiatry source
- Not matchedcites [6] Baumeister, 1994
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plaincorrelational- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Drug addiction represents a dramatic dysregulation of motivational circuits that is caused by a combination of exaggerated incentive salience and habit formation, reward deficits and stress surfeits, and compromised executive function in three stages.”
§ Neurobiology of addiction: a neurocircuitry analysis > Abstract
plaindirect- Asserted: passes — The authors put it forward as true.
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A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“Activation of the ventral striatum leads to the recruitment of striatal-globus pallidalthalamocortical loops that engage the dorsal striatum, resulting in habit formation45 and triggering what is hypothesised to underlie compulsive responding for drugs (table 2, circuits 3 and 4).”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the binge/intoxication stage > Incentive salience
What the sources say
- Not checked — no full text of the sourcecites [45] Belin, 2009, Parallel and interactive learning processes within the basal ganglia: relevance for the understanding of addiction, Behav Brain Res source
- Not checked — no full text of the sourcecites [59] Belin, 2008, Cocaine seeking habits depend upon dopamine-dependent serial connectivity linking the ventral with the dorsal striatum, Neuron source
hedgeddirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This mechanism implicates lower-affi nity D1 receptors, which stimulate cyclic adenosine monophosphate (cAMP) signalling, as being involved in both acute drug reward and conditioning, because both induce spikes in dopamine release.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the binge/intoxication stage > Incentive salience
hedgeddirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“The specific circuitry that is associated with drug reward has been broadened to include many neural inputs and outputs that interact with the basal forebrain.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the binge/intoxication stage > Drug reward
plaincorrelational- Asserted: passes — The authors put it forward as true.
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In the paper
“A new reward—and subsequently the cues associated with the reward—triggered phasic dopamine cell firing and activation of dopamine D1 receptors, which are necessary for conditioning to occur (table 2, circuits 1–4).”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the binge/intoxication stage > Incentive salience
What the sources say
- Not checked — no full text of the sourcecites [58] Ungless, 2001, Single cocaine exposure in vivo induces long-term potentiation in dopamine neurons, Nature source
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Balanced circuits result in proper inhibitory control and decision making and normal functioning of reward, motivation, stress, and memory circuits.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the binge/intoxication stage > Drug reward
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Both conditioned reinforcement and incentive salience provide constructs for what underlies cue-induced drug seeking, self-administration behaviours, and, conceivably, the transition to habit-like compulsive drug seeking.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the binge/intoxication stage > Incentive salience
hedgedconditional- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The ability of conditioned cues to recruit these circuits augments progression through the addiction cycle and helps explain intense desire for the drug (ie, craving) and compulsive use when individuals with addiction are exposed to drug cues or stressful environments that are linked with negative emotional states.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the binge/intoxication stage > Incentive salience
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In this context, individuals move from impulsivity to compulsivity, and the drive for drug-taking behaviour is paralleled by shifts from positive to negative reinforcement (figure 1).”
§ Neurobiology of addiction: a neurocircuitry analysis > Conceptual framework, definitions, and animal models
plaincorrelational- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This process allows previously neutral stimuli to become endowed with incentive salience and strengthens the learned association with repeated exposure to the cues, which creates strong motivation to seek a reward.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the binge/intoxication stage > Incentive salience
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“As a result, the concept of anti-reward was developed,2 based on the proposal that opponent processes that are a general feature of biological systems also act to limit reward.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the withdrawal/negative affect stage
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
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Probably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Thus, the within-system and between-system construct could be equally valid for the preoccupation/anticipation stage.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the withdrawal/negative affect stage
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
In the paper
“craving in itself has been diffi cult to measure in human clinical studies and does not always correlate with relapse.89”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the preoccupation/anticipation stage
What the sources say
- Not checked — no full text of the sourcecites [89] Tiffany, 2000, Challenges in the manipulation, assessment and interpretation of craving relevant variables, Addiction source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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It may state two separate claims as one.
In the paper
“These aversive states are manifest when the drug is removed during acute withdrawal but also during protracted abstinence.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the withdrawal/negative affect stage
What the sources say
- Not checked — no full text of the sourcecites [2] Koob, 2008, Addiction and the brain antireward system, Annu Rev Psychol source
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
In the paper
“Indeed, imaging studies have revealed baseline decreases in orbitofrontal (medial and lateral) and anterior cingulate (ventral and dorsal) function and dopamine function during dependence, but reactivation of dopamine and reward system function during acute craving episodes.108”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the preoccupation/anticipation stage
What the sources say
- Not checked — no full text of the sourcecites [108] Volkow, 1999, Association of methylphenidate-induced craving with changes in right striato-orbitofrontal metabolism in cocaine abusers: implications in addiction, Am J Psychiatry source
plaincorrelational- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Decreases in reward can be driven by overactivation of the habenula or overactivation of the dynorphin system in the ventral striatum, both of which can decrease dopamine neuron firing.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the withdrawal/negative affect stage
plaindirect- Asserted: passes — The authors put it forward as true.
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- Based: unclear — It is unclear why the paper says it holds.
It may state two separate claims as one.
In the paper
“Anti-reward circuits are engaged as neuroadaptations during the development of addiction, producing aversive or stress-like states.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the withdrawal/negative affect stage
What the sources say
- Not checked — no full text of the sourcecites [2] Koob, 2008, Addiction and the brain antireward system, Annu Rev Psychol source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“Cue-induced reinstatement also involves a glutamatergic projection from the prelimbic prefrontal cortex, basolateral amygdala, and ventral subiculum to the nucleus accumbens, and dopamine modulation in the basolateral amygdala and dorsal striatum (tables 1, 2, circuits 14 and 15).51,52,95”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the preoccupation/anticipation stage
What the sources say
- Not checked — no full text of the sourcecites [51] Vorel, 2001, Relapse to cocaine-seeking after hippocampal theta burst stimulation, Science source
- Not checked — no full text of the sourcecites [52] Everitt, 2002, Psychomotor stimulant addiction: a neural systems perspective, J Neurosci source
- Not checked — no full text of the sourcecites [95] Vanderschuren, 2005, Involvement of the dorsal striatum in cue-controlled cocaine seeking, J Neurosci source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
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It may state two separate claims as one.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“For example, in post-traumatic stress disorder there is substantial evidence of hypoactivity in the ventromedial prefrontal cortex and hyperactivity in the central nucleus of the amygdala that reflects an inhibitory connection between the ventromedial prefrontal cortex and central nucleus of the amygdala.133,134”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the preoccupation/anticipation stage
What the sources say
- Not checked — no full text of the sourcecites [133] Pitman, 2012, Biological studies of post-traumatic stress disorder, Nat Rev Neurosci source
- Not checked — no full text of the sourcecites [134] Mcdonald, 1996, Projections of the medial and lateral prefrontal cortices to the amygdala: a Phaseolus vulgaris leucoagglutinin study in the rat, Neuroscience source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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It may state two separate claims as one.
In the paper
“Activation of the dorsal anterior cingulate is also associated with fear conditioning in post-traumatic stress disorder.129”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the preoccupation/anticipation stage
What the sources say
- Not checked — no full text of the sourcecites [129] Bryant, 2005, Neural networks of information processing in posttraumatic stress disorder: a functional magnetic resonance imaging study, Biol Psychiatry source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The neuroplastic changes outlined previously are triggered and sustained by molecular and cellular adaptations that can presumably also interact with genetic and environmental vulnerability to addiction.”
§ Neurobiology of addiction: a neurocircuitry analysis > Molecular and genetic treatment targets within brain circuits associated with addiction
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper may give no reason why it holds.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“The kinase mammalian (mechanistic) target of rapamycin complex 1 (mTORC1) belongs to the phosphoinositide 3-kinase (PI3K)-related kinase (PIKK) family and plays a key role in the dendritic translation of synaptic proteins.”
§ Neurobiology of addiction: a neurocircuitry analysis > Molecular and genetic treatment targets within brain circuits associated with addiction
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Under this framework, a Stop system would inhibit the Go craving system and stress system.”
§ Neurobiology of addiction: a neurocircuitry analysis > Neurobiological mechanisms of the preoccupation/anticipation stage
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
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It may state two separate claims as one.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“Introduction of cAMP response element binding protein in the nucleus accumbens decreases the reinforcing value of natural and drug rewards, and this change plausibly contributes to withdrawal/negative affect stage-related decreases in reward pathway function, which leave a drug-abstinent individual in an amotivational, dysphoric, or depressed-like state.138,139”
§ Neurobiology of addiction: a neurocircuitry analysis > Molecular and genetic treatment targets within brain circuits associated with addiction
What the sources say
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“For example, repeated substance use activates accumulating levels of ΔFosB, and animals with elevated ΔFosB exhibit exaggerated sensitivity to the rewarding effects of drugs of abuse, leading to the hypothesis that ΔFosB might be a sustained molecular trigger or switch that helps initiate and maintain a state of addiction.141,142”
§ Neurobiology of addiction: a neurocircuitry analysis > Molecular and genetic treatment targets within brain circuits associated with addiction
What the sources say
- Not checked — no full text of the sourcecites [141] Nestler, 2005, Is there a common molecular pathway for addiction?, Nat Neurosci source
- Not checked — no full text of the sourcecites [142] Kelz, 1999, Expression of the transcription factor deltaFosB in the brain controls sensitivity to cocaine, Nature source
hedgeddirect- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. It may state two separate claims as one.
In the paper
“In humans, only a few specific genes have been identified with polymorphisms (alleles) that either predispose an individual to or protect an individual from drug addiction,156 but the number is growing.”
§ Neurobiology of addiction: a neurocircuitry analysis > Molecular and genetic treatment targets within brain circuits associated with addiction
What the sources say
- Not checked — no full text of the sourcecites [156] Uhl, 2004, The burden of complex genetics in brain disorders, Arch Gen Psychiatry source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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It may state two separate claims as one.
In the paper
“Heritability of addictions is 40–60%, much of which is caused by genetic variations that affect underlying neurobiological mechanisms, and thus is consistent with there being common pathways to different addictions.152”
§ Neurobiology of addiction: a neurocircuitry analysis > Molecular and genetic treatment targets within brain circuits associated with addiction
What the sources say
- Not checked — no full text of the sourcecites [152] Lerman, 2003, Elucidating the role of genetic factors in smoking behavior and nicotine dependence, Am J Med Genet B Neuropsychiatr Genet source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“For example, chronic exposure to a wide variety of abused drugs upregulates cAMP formation, cAMP-dependent protein kinase A (PKA) activity, and PKA-dependent protein phosphorylation in the nucleus accumbens.”
§ Neurobiology of addiction: a neurocircuitry analysis > Molecular and genetic treatment targets within brain circuits associated with addiction
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“A well characterised example is that chronic exposure to various drugs of abuse increases the activation of cAMP response element binding protein in the nucleus accumbens and deactivates it in the central nucleus of the amygdala.”
§ Neurobiology of addiction: a neurocircuitry analysis > Molecular and genetic treatment targets within brain circuits associated with addiction
boosteddirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“GABA co-release is modulated by binge-like doses of alcohol administered to mice, and diminished ALDH1a1 leads to enhanced alcohol consumption and preference.”
§ Neurobiology of addiction: a neurocircuitry analysis > Molecular and genetic treatment targets within brain circuits associated with addiction
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Although such approaches do not guarantee that these genes convey vulnerability in the human population, they provide viable candidates for exploring the genetic basis of endophenotypes that are associated with addiction.”
§ Neurobiology of addiction: a neurocircuitry analysis > Molecular and genetic treatment targets within brain circuits associated with addiction
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Identification of these molecular and neurochemical loads on the circuitry provides key information about vulnerability, resilience, treatment, and recovery from addiction, as well as information on how different drugs of abuse enter the overall addiction cycle.”
§ Neurobiology of addiction: a neurocircuitry analysis > Conclusions and future directions
plaincorrelational- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
In the paper
“Beginning in preadolescence and continuing into the mid-20s, cortical grey matter volumes reduce, which reflects a normal pruning process;168 white matter volume increases over the course of adolescence, reflecting increases in connectivity, including axonal extension and myelination.168”
§ Neurobiology of addiction: a neurocircuitry analysis > Developmental exposure as a key component of vulnerability for drug and alcohol use disorders
What the sources say
- Not checked — no full text of the sourcecites [168] Giedd, 1999, Brain development during childhood and adolescence: a longitudinal MRI study, Nat Neurosci source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Non-drug addictions elaborate self-regulation failures similarly to drug addictions, with transitions from impulsivity to compulsivity and a chronic relapsing trajectory.”
§ Neurobiology of addiction: a neurocircuitry analysis > Relevance to behavioural addictive disorders
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Non-drug addictions, such as pathological gambling, have a similar behavioural phenotype that fits into the three-stage cycle.”
§ Neurobiology of addiction: a neurocircuitry analysis > Conclusions and future directions
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
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Probably not a substantial claim. The paper may give no reason why it holds.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“Environmental factors that have been consistently associated with the propensity to self-administer drugs include structural factors (eg, low socioeconomic status and associated lack of social support systems), proximal factors (eg, parental drug use and dependence, as per the DSM-IV, poor quality of parenting, parental depression, and sibling and peer influences), and more distal factors (eg, dru”
§ Neurobiology of addiction: a neurocircuitry analysis > Developmental exposure as a key component of vulnerability for drug and alcohol use disorders
What the sources say
- Not checked — no full text of the sourcecites [177] Hawkins, 1992, Risk and protective factors for alcohol and other drug problems in adolescence and early adulthood: implications for substance abuse prevention, Psychol Bull source
- Not checked — no full text of the sourcecites [178] Sloboda, 2012, Revisiting the concepts of risk and protective factors for understanding the etiology and development of substance use and substance use disorders: implications for prevention, Subst Use Misuse source
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We elaborate here a heuristic framework based on the behavioural and imaging phenotypes of addiction as three stages linked by three functional domains that are mediated by three major neurobiological circuits (basal ganglia, extended amygdala, and prefrontal cortex) and numerous microcircuits of neuroplasticity.”
§ Neurobiology of addiction: a neurocircuitry analysis > Conclusions and future directions
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
The paper relies on this without support.
Neurobiological mechanisms identified in rodent models of reinstatement and craving correspond to the circuits that mediate human addiction.
“Evidence from rodent studies suggests that drug-induced reinstatement is mediated by the circuit that links the prelimbic prefrontal cortex to the ventral striatum94 (for correspondence with humans, see figure 2; tables 1, 2, circuits 12 and possibly 13).”
“In humans, cue-induced craving appears to involve activation of similar circuits, in which cues that are associated with drugs and elements of non-drug addictions produce activation of the prefrontal cortex, including the dorsolateral prefrontal cortex, anterior cingulate gyrus, and medial orbitofrontal cortex.101–105”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Modern proponents suggest that downregulation or loss of brain dopamine D2 receptors (one of the two main types of neuronal receptors for dopamine) make addicts experience less pleasure in their lives than other people (Koob and Volkow, 2016; Keramati et al., 2017). Consequently, these theorists argue that addicts must take addictive drugs to achieve normal levels of dopamine stimulation and”
From Evolving Concepts of Emotion and Motivation (2018) · cites this paper as Koob and Volkow, 2016
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Problematic social media use (PSMU) parallels traditional characteristics of substance use disorders, including salience, functional impairment, and tolerance.”
From Problematic social media use and inhibitory control among post-secondary students (2025) · cites this paper as Koob & Volkow, 2016
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Upregulation of CRF in the amygdala in turn plays a role in negative emotional states dur ing drug withdrawal 51 .”
From Substance use disorders: a comprehensive update of classification, epidemiology, neurobiology, clinical aspects, treatment and prevention (2023) · cites this paper as [51]
The cited source says what the claim attributes to it.
In the citing paper
“There is a growing consensus that SUDs, once developed, tend to be chronic disorders 161 , reflecting long- lasting changes in brain function 50,51 , that are exacerbated by the cumulative mental health and social consequences that they trigger.”
From Substance use disorders: a comprehensive update of classification, epidemiology, neurobiology, clinical aspects, treatment and prevention (2023) · cites this paper as [51]
In the citing paper
“such that stress plays a powerful role in the initiation, escalation, and relapse to drug abuse via dopaminergic mechanisms (Koob and Volkow, 2016).”
From The effects of psychosocial stress on dopaminergic function and the acute stress response (2019) · cites this paper as Koob and Volkow, 2016
In the citing paper
“addiction is best regarded as a cycle of compulsive substance use subserved by dysregulation in neural circuitry governing motivation and hedonic experience, habit behavior, and executive function [1].”
From Mindfulness-based treatment of addiction: current state of the field and envisioning the next wave of research (2018) · cites this paper as [1]
In the citing paper
“second, it identifies three neuroscience domains that are not only grounded in the neurobiology of addiction [3], but also overlap with three of the five RDoC domains”
From Addiction Biomarkers: Dimensional Approaches to Understanding Addiction (2018) · cites this paper as [3]
In the citing paper
“We hypothesize that the variants that affect consumption at lower levels may differ substantively from those that affect very high levels of consumption in alcohol dependent individuals, who are also characterized by loss of control over intake33.”
From Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders (2018) · cites this paper as [33]
In the citing paper
“Cue-induced drug seeking is also underpinned by the processes of conditioned reinforcement [described by Koob and Volkow (51) as a previously neutral stimulus that can reinforce behaviors through its association with a primary reinforcer and thus become a reinforcer in its own right] and incentive salience”
From Craving in Opioid Use Disorder: From Neurobiology to Clinical Practice (2019) · cites this paper as [51]
In the citing paper
“For example, in drug addiction, the opponent-process theory posited negative hedonic states of withdrawal and dysphoria to be the chief force driving addicts to take drugs (Solomon and Corbit, 1974), a view that still has adherents (Koob and Volkow, 2016; Keramati et al., 2017).”
From Evolving Concepts of Emotion and Motivation (2018) · cites this paper as Koob and Volkow, 2016
In the citing paper
“the NAc also maintains direct and indirect involvement with several brain regions, such as the dorsal striatum, amygdala, and hippocampus, areas which are associated with emotions, self-regulation, disinhibition, insight, craving, and habit forming [19].”
In the citing paper
“The primary subcortical brain target is the nucleus accumbens (NAc) which is considered the center of the reward circuitry and heavily implicated in substance use and craving [18–22].”
In the citing paper
“We found that variants near the widely studied dopamine receptor D2 (DRD2)28 were associated across phenotypes, including CigDay, SmkCes, and DrnkWk (p=6.5×10−12, 1.1×10−10, and 4.9×10−11, respectively) but not with AgeSmk or SmkInit”
From Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use (2019) · cites this paper as [28]
In the citing paper
“Associations with SmkInit highlighted structures and functions related to long-term potentiation and reward-related learning and memory, systems that affect reward processing and addiction28,34,35.”
From Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use (2019) · cites this paper as [28]
In the citing paper
“As a result of drug use and abuse, different neuronal circuits, such as the circuits involved in reward and fear processing, are co-opted to each stage of the addictive cycle and continue to function to maintain addiction”
From The Insula: A Brain Stimulation Target for the Treatment of Addiction (2019) · cites this paper as Koob and Volkow, 2016
In the citing paper
“Many of the insula’s connectivity constitute areas known to be involved in addiction”
From The Insula: A Brain Stimulation Target for the Treatment of Addiction (2019) · cites this paper as Koob and Volkow, 2016
Citations
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“Combined with previous studies showing that both the insula and dopamine are related to addiction, (Koob and Volkow, 2016; Wise and Robble, 2020; Naqvi and Bechara, 2010) and dopamine is one of the important markers of extraversion, it can be speculated that extraversion may, to some extent, affect…”
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“Given that relief from negative affect and withdrawal symptoms is thought to be a critical component of the addiction cycle (Koob and Volkow, 2016), and the evidence that negative mood induction motivates alcohol seeking and increases alcohol seeking (Amlung and MacKillop, 2014; Zack et al., 2006),…”
BackgroundGaming Disorder and Its Treatment
Griffiths, M. D., Kuss, D. J., & Pontes, H. M. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108632591.029 · Cited by 6
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“Specifically, in addiction the repeated exposure to reward may result in an overactivation of the DA system and sensitization to reward-related stimuli as well as a net downregulation of striatal dopamine D2 receptors [17,20].”
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“Motivational characteristics are important components of theoretical models of addiction [10,11], and empirical evidence from animal models [12] and neuroimaging research [13] has supported the importance of positive/negative reinforcement in the development of addictions.”
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“…salience of the brain circuits involved in addictive behaviour in humans, which has been progressively recognized in recent years (e.g., Joutsa et al., 2022; Koob & Volkow, 2016), permits glimpses of new therapeutic approaches aimed at modifying the activity of these networks underlying addiction.”
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“…its corresponding functions, like decision-making [45], risk avoidance [34], inhibition control [71], cue-induced craving [69] and working memory [24, 35], were impaired in substance use disorders, supporting a theory of bottom-up drive to drug use and top-down executive control over drug use.”
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“Altered connections between the midline core DMN and subcortical regions, such as the amygdala and the striatum, are responsible for the cognitive, emotional, and reward-related dysregulation in substance abuse (Koob and Volkow, 2016).”
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“Human and animal studies also suggest that GD and SUD are associated with reward and cognitive control system impairments (Koob & Volkow, 2016).”
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“SUDs are chronic, relapsing disorders, characterized by intermittent drug use which transitions to continued use despite negative consequences (Koob and Volkow, 2016).”
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“Besides, studies on the withdrawal trait that involves a slow pruning of neuronal synapses and reward-related brain circuits, diminishing maladaptive motivation to seek and take the drug have been directly correlated with the presence of genetic variants (Koob and Volkow, 2016).”
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“Moreover, genetic variants can condition not only the metabolic pathways of ethanol but also the neurobiology of alcohol dependence, which is mediated by the neuronal circuits that regulate reward, pleasure, desire, and impulsiveness [35–38].”
BackgroundCoelho, G. C., Crespo, L. G. S. C., Sampaio, M. D. F. D. S., da Silva, R. C. B., Samuels, R. I., Carey, R. J., & Carrera, M. P. (2024) · Behavioural Brain Research · doi:10.1016/j.bbr.2024.115221 · Cited by 3
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Lodetti, G., Baldin, S. L., de Farias, A. C. S., et al. (2024) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2024.173915 · Cited by 3
Astrocytic regulation of cocaine locomotor sensitization in EcoHIV infected mice
Xie, Q., Dasari, R., Namba, M. D., Buck, L. A., Side, C. M., Park, K., Jackson, J. G., & Barker, J. M. (2024) · Neuropharmacology · doi:10.1016/j.neuropharm.2024.110245 · Cited by 3
A ketogenic diet regulates microglial activation to treat drug addiction
Ji, J., & Tang, Y. (2025) · Frontiers in Pharmacology · doi:10.3389/fphar.2025.1462699 · Cited by 3
“The hallmarks of this illness are obsessively seeking and using a substance; an inability to control one ’ s intake of the substance; and a depressive mood, with little consideration for social, physical, or individual repercussions (Koob and Volkow, 2016).”
Calcium imaging of central amygdala activity after escalation of fentanyl self-administration
Malone, S. G., Tavakoli, N. S., Keller, P. S., Bardo, M. T., & Ortinski, P. I. (2025) · Neuropharmacology · doi:10.1016/j.neuropharm.2025.110370 · Cited by 3
Pilloni, G., Pehel, S., Ko, T., Sammarco, C. L., Charlson, R. E., Hanlon, C. A., & Charvet, L. E. (2025) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2025.112706 · Cited by 3
Postnatal hypoxia evokes persistent changes within the male rat’s dopaminergic system
Decker, M. J., Jones, K. A., Keating, G. L., & Rye, D. B. (2017) · Sleep And Breathing · doi:10.1007/s11325-017-1558-6 · Cited by 3
Zhang, L.-W., Guo, Q. Q., Fang, R., Lin, L., Ye, B.-H., Zheng, K., Lin, M. J., Yang, Z., Fang, J., & Li, C. (2019) · Evidence-based Complementary and Alternative Medicine · doi:10.1155/2019/3870316 · Cited by 3
“Due to long-term repeated use of addictive substances such as heroin, marijuana, and morphine, patients have a strong physical and mental dependence, which leads to persistent cravings for drugs, compulsive use of drugs, and relapse behaviour after withdrawal [8].”
BackgroundResponse to opioids is dependent on sociability levels
Madison, C. A., Wellman, P. J., & Eitan, S. (2020) · Behavioural Pharmacology · doi:10.1097/fbp.0000000000000552 · Cited by 3
“Opioids interact with multiple neurocircuits (Koob, 2006; Koob and Volkow, 2016).”
BackgroundNalbuphine and Addiction: From the Basic Science to Clinical Set
Conter, F. D. S., Ar, O., & Weston, A. C. (2019) · Journal of Clinical Research in Anesthesiology · doi:10.33309/2639-8915.020202 · Cited by 3
Brain Morphology of Cannabis Users With or Without Psychosis: A Pilot MRI Study
Delvecchio, G., Oldani, L., Mandolini, G. M., Pigoni, A., Ciappolino, V., Schiena, G., Lazzaretti, M., Caletti, E., Barbieri, V., Cinnante, C. M., et al. (2020) · Journal of Visualized Experiments · doi:10.3791/60881 · Cited by 6
Novel Application for G Protein–Biased Mu Opioid Receptor Agonists in Opioid Relapse Prevention
Fakira, A. K., Devi, L. A., & Kennedy, P. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.09.006 · Cited by 3
“Stress increases CRF1R–β-arrestin 2 association in males, contributing to desensitization and internalization of the receptor.”
BackgroundInfluentialThe Role of Culture in Addiction
Hoffman, B. R., & Unger, J. B. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108632591.018 · Cited by 3
Li, B., Dong, G., Li, H., Jia-song, Z., Bing, Y.-H., Chu, C., Cui, S.-B., & Qiu, D. (2021) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2021.657884 · Cited by 3
Leach, A. C., Pitts, E. G., Siciliano, C. A., & Ferris, M. J. (2022) · European Journal of Neuroscience · doi:10.1111/ejn.15620 · Cited by 4
“Our results are consistent with evidence that glutamatergic projections from the prefrontal cortex and amygdala to the ventral tegmental area and NAc play critical roles in synaptic changes associated with compulsive responding for drugs (Koob & Volkow, 2016).”
ResultKoob, G. F., Arends, M. A., McCracken, M. L., & Moal, M. L. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-816863-9.00001-7 · Cited by 3
Self-citationNeurobiological theories of addiction
Koob, G. F., Arends, M. A., McCracken, M. L., & Moal, M. L. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-816863-9.00003-0 · Cited by 3
Self-citationChronic Methamphetamine and Psychosis Pathways
Hogarth, S. J., Manning, E. E., & van den Buuse, M. (2022) · Springer eBooks · doi:10.1007/978-3-030-67928-6_110-1 · Cited by 4
Galbo, L. K., & Czoty, P. W. (2023) · Current Pharmacology Reports · doi:10.1007/s40495-023-00337-9 · Cited by 3
Nobrega, A. K. D., & Lyons, L. C. (2017) · Neural Plasticity · doi:10.1155/2017/4723836 · Cited by 4
“In Drosophila, reward learning requires dopaminergic projections to the mushroom body neurons [125, 345] whereas in mammals, dopaminergic innervation from the ventral tegmental area to the striatum, the bed nucleus of the stria terminalis, and the nucleus accumbens is required for reward preference [346].”
BackgroundTolic, I., & Soyka, M. (2018) · Fortschritte der Neurologie · Psychiatrie · doi:10.1055/s-0043-119798 · Cited by 4
McManus, O. B., Werley, C. A., & Dempsey, G. T. (2019) · The Journal of General Physiology · doi:10.1085/jgp.201912325 · Cited by 3
“The immediate effects of nicotine administration that users seek are mediated by a variety of nicotinic acetylcholine receptor (nAchR) subunit combinations in the plasma membrane of neurons involved in reward circuity (Koob and Volkow, 2016).”
BackgroundNarasimha, V. L., Shukla, L., Shyam, R. S., Kandasamy, A., & Benegal, V. (2019) · Indian Journal of Psychiatry · doi:10.4103/psychiatry.indianjpsychiatry_16_19 · Cited by 3
“thought to correct the glutamatergic dysfunction which is one of the critical processes in addiction.[12,13] BAC also fared”
BackgroundThree-dimensional chromosome architecture and drug addiction
Chitaman, J. M., Fraser, P., & Feng, J. (2019) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2019.05.009 · Cited by 3
“Susceptibility to addiction is believed to be the convergence of genetic predisposition and exposure to environmental risk factors, which results in dysregulation of specific genes [1,2].”
BackgroundNeurosurgical Treatment for Drug Addiction: Systematic Review
dos Santos, P. L. M., Curti, R. O., & da Silva, L. J. (2020) · Arquivos Brasileiros de Neurocirurgia Brazilian Neurosurgery · doi:10.1055/s-0040-1702976 · Cited by 3
Transcranial Direct Current Stimulation in Addiction
Martinotti, G., Miuli, A., Pettorruso, M., Ekhtiari, H., Hanlon, C. A., Spagnolo, P. A., & Giannantonio, M. D. (2020) · Springer eBooks · doi:10.1007/978-3-030-43356-7_19 · Cited by 3
Exploring allele specific methylation in drug dependence susceptibility
Pineda-Cirera, L., Cabana‐Domínguez, J., Grau‐López, L., Daigre, C., Sánchez‐Mora, C., Palma-Álvarez, R. F., Ramos‐Quiroga, J. A., Marta Ribasés, A., Cormand, B., & Fernàndez‐Castillo, N. (2020) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2020.07.044 · Cited by 3
Chapter 14. Opioid Antagonist Treatment of Opioid-Related Disorders
Capata, M., & Hartwell, K. J. (2021) · American Psychiatric Association Publishing eBooks · doi:10.1176/appi.books.9781615373970.kb14 · Cited by 3
Rezvani, A. H., Wells, C., Hawkey, A. B., et al. (2021) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2021.174407 · Cited by 3
Kawashima, H., Aono, Y., Watanabe, Y., Waddington, J. L., & Saigusa, T. (2022) · European Journal of Neuroscience · doi:10.1111/ejn.15593 · Cited by 3
“Drugs with abuse liability typically enhance activity in mesocorticolimbic dopaminergic neurons that, in experimental animals, project to nucleus accumbens (Di Chiara et al., 2004; Koob & Volkow, 2016; Li & Jasanoff, 2020).”
BackgroundNie, Y., Pan, T., Zheng, Y., & He, J. (2019) · Addictive Behaviors · doi:10.1016/j.addbeh.2019.106084 · Cited by 3
Love, T., Shabalin, A. A., Kember, R. L., Docherty, A. R., Zhou, H., Koppelmans, V., Gelernter, J. E., Baker, A. K., Hartwell, E. E., Dubroff, J. G., et al. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-022-01325-1 · Cited by 3
“Further, subgenual anterior cingulate MOR activity has been associated with the processing of emotional and social stimuli [38, 39] and implicated in the pathophysiology of MDD, including the response to the administration of antidepressants and MDD-associated suicide [5–8] and addictions [40, 41].”
BackgroundOng, W., Leow, D. M.-K., Herr, D. R., & Yeo, C. J.-J. (2022) · NeuroMolecular Medicine · doi:10.1007/s12017-022-08718-x · Cited by 3
“Although this is generally accepted to occur via increased activity of ventral tegmental area (VTA) neurons (Koob & Volkow, 2016), there is evidence that it could involve the dorsal tier SNc neurons (Keath et al., 2007).”
BackgroundEffects of β -caryophyllene, A Dietary Cannabinoid, in Animal Models of Drug Addiction
Asth, L., Cruz, L. C., Soyombo, N., Rigo, P., & Moreira, F. A. (2022) · Current Neuropharmacology · doi:10.2174/1570159x20666220927115811 · Cited by 3
Generative artificial intelligence-enabled dynamic detection of rat nicotine-related circuits
Gong, C., Jing, C., Liu, X., Wang, V. X., Tang, C. Y., Kenny, P. J., Li, Y., Chen, Z., & Wang, S. (2023) · Neural Computing and Applications · doi:10.1007/s00521-023-09307-0 · Cited by 3
“Nicotine is the major addictive substance that acts on brain circuits and contributes to smoking initiation, maintenance, and relapse [3].”
Leyton, M. (2021) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.210004 · Cited by 3
Chapter 34. Nicotine and Public Health
Cummings, K. M., Borland, R., & Braak, D. C. (2021) · American Psychiatric Association Publishing eBooks · doi:10.1176/appi.books.9781615373970.kb34 · Cited by 3
Timme, N. M., Ma, B., Linsenbardt, D. N., Cornwell, E., Galbari, T., & Lapish, C. C. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.03.15.435169 · Cited by 3
Prefrontal-Habenular Microstructural Impairments in Human Cocaine and Heroin AddictionPreprint
King, S. G., Gaudreault, P., Malaker, P., et al. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4072042 · Cited by 3
Behavioral Studies in Nonhuman Primates: Focus on Models of Substance Use Disorders
Johnson, B., Norman, C., Minkiewicz, M., & Nader, M. A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-809324-5.23967-9 · Cited by 5
Dopamine Receptors: Neurotherapeutic Targets for Substance Use Disorders
Nilson, A. N., Felsing, D. E., & Allen, J. (2022) · Wiley eBooks · doi:10.1002/9781119564782.ch19 · Cited by 2
Pre- and post-task resting-state differs in clinical populationsPreprint
Lor, C. S., Zhang, M., Karner, A., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.20.508750 · Cited by 3
Perceptions of Control Over Different Causes of Death and the Accuracy of Risk EstimationsPreprint
Brown, R. D., Sillence, E., & Pepper, G. V. (2023) · doi:10.31219/osf.io/hx647 · Cited by 3
Leenaerts, N., Vaessen, T., Sunaert, S. G., Ceccarini, J., & Vrieze, E. (2023) · doi:10.31234/osf.io/pr2sv · Cited by 3
Metadata
- Authors
- Koob, G. F., & Volkow, N. D.
- Affiliations
- National Institutes of Health (US)
- Corresponding author
- Koob, George F
- Venue
- The Lancet Psychiatry
- Publisher
- Elsevier BV
- Published
- 2016-08
- Volume
- 3
- Issue
- 8
- Pages
- 760-773
- ISSN
- 2215-0366 (ISSN-L)
- PMC
- PMC6135092
- OpenAlex
- W2491859250
- Semantic Scholar
- 2394bfa642d20cb2f5bcc54ba45b41651539e825
- Cited by
- 3,698
- References
- 199
- Citations by year
- 2026: 507 · 2025: 488 · 2024: 437 · 2023: 423 · 2022: 393 · 2021: 441 · 2020: 359 · 2019: 262 · 2018: 235 · 2017: 136 · 2016: 15
- FWCI
- 23.74
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- The Lancet Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (Z99‐AA999999)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Keywords
- drug addiction, neurocircuitry, incentive salience, basal ganglia, dopamine, opioid peptides, extended amygdala, corticotropin-releasing factor, dynorphin, stress response, withdrawal, craving, executive function, prefrontal cortex, insula, glutamate, addiction relapse, addiction vulnerability, transcription factors
- MeSH terms
- Brain, Humans, Neural Pathways, Neurobiology, Substance-Related Disorders
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