The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Responsiveness to Drug Cues and Natural Rewards in Opiate Addiction: Associations With Later Heroin Use
Abstract
CONTEXT: Although drug cues reliably activate the brain's reward system, studies rarely examine how the processing of drug stimuli compares with natural reinforcers or relates to clinical outcomes. OBJECTIVES: To determine hedonic responses to natural and drug reinforcers in long-term heroin users and to examine the utility of these responses in predicting future heroin use. DESIGN: Prospective design examining experiential, expressive, reflex modulation, and cortical/attentional responses to opiate-related and affective stimuli. The opiate-dependent group was reassessed a median of 6 months after testing to determine their level of heroin use during the intervening period. SETTING: Community drug and alcohol services and a clinical research facility. PARTICIPANTS: Thirty-three opiate-dependent individuals (mean age, 31.6 years) with stabilized opiate-substitution pharmacotherapy and 19 sex- and age-matched healthy non-drug users (mean age, 30 years). MAIN OUTCOME MEASURES: Self-ratings, facial electromyography, startle-elicited postauricular reflex, and event-related potentials combined with measures of heroin use at baseline and follow-up. RESULTS: Relative to the control group, the opiate-dependent group rated pleasant pictures as less arousing and showed increased corrugator activity, less postauricular potentiation, and decreased startle-elicited P300 attenuation while viewing pleasant pictures. The opiate-dependent group rated the drug-related pictures as more pleasant and arousing, and demonstrated greater startle-elicited P300 attenuation while viewing them. Although a startle-elicited P300 amplitude response to pleasant (relative to drug-related) pictures significantly predicted regular (at least weekly) heroin use at follow-up, subjective valence ratings of pleasant pictures remained the superior predictor of use after controlling for baseline craving and heroin use. CONCLUSIONS: Heroin users demonstrated reduced responsiveness to natural reinforcers across a range of psychophysiological measures. Subjective rating of pleasant pictures robustly predicted future heroin use. Our findings highlight the importance of targeting anhedonic symptoms within clinical treatment settings.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Opiate abuse has been associated with changes in cortical blood flow (Fu et al., 2008; Lubman et al., 2009), grey matter loss (Lyoo et al., 2006) and impaired connectivity (Schmidt et al., 2015).”
From Substance abuse and white matter: Findings, limitations, and future of diffusion tensor imaging research (2019) · cites this paper as Lubman et al., 2009
In the citing paper
“In a study using multi-modal psychophysiological measurements, Lubman and colleagues [156] reported decreased arousal ratings and physiological measures of reward motivation to pleasant pictures relative to drug-cue images in opiate-dependent participants.”
From Reward circuitry dysfunction in psychiatric and neurodevelopmental disorders and genetic syndromes: animal models and clinical findings (2012) · cites this paper as [156]
Citations
Cites
An inventory for measuring depression
BECK, A. T. (1961) · Archives of General Psychiatry · doi:10.1001/archpsyc.1961.01710120031004 · Cited by 38,032
Development and validation of brief measures of positive and negative affect: The PANAS scales.
Watson, D., Clark, L. A., & Tellegen, A. (1988) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.54.6.1063 · Cited by 32,433
The neural basis of drug craving: An incentive-sensitization theory of addiction
Robinson, T. (1993) · Brain Research Reviews · doi:10.1016/0165-0173(93)90013-p · Cited by 7,346
Drug Addiction, Dysregulation of Reward, and Allostasis
Koob, G. (2001) · Neuropsychopharmacology · doi:10.1016/s0893-133x(00)00195-0 · Cited by 2,953
Goldstein, R. Z., & Volkow, N. D. (2002) · American Journal of Psychiatry · doi:10.1176/appi.ajp.159.10.1642 · Cited by 2,667
Drug abuse: hedonic homeostatic dysregulation
Koob, G. F., & Moal, M. L. (1997) · Science · doi:10.1126/science.278.5335.52 · Cited by 2,535
A Solution for Reliable and Valid Reduction of Ocular Artifacts, Applied to the P300 ERP
Semlitsch, H. V., Anderer, P., Schuster, P., & Presslich, O. (1986) · Psychophysiology · doi:10.1111/j.1469-8986.1986.tb00696.x · Cited by 2,024
Limbic Activation During Cue-Induced Cocaine Craving
Childress, A. R., Mozley, P. D., McElgin, W., Fitzgerald, J., Reivich, M., & O’Brien, C. P. (1999) · American Journal of Psychiatry · doi:10.1176/ajp.156.1.11 · Cited by 1,513
Gossop, M., Darke, S. G., Griffiths, P., Hando, J., Powis, B., Hall, W., & Strang, J. (1995) · Addiction · doi:10.1046/j.1360-0443.1995.9056072.x · Cited by 1,341
Self-report among injecting drug users: A review
Darke, S. (1998) · Drug and Alcohol Dependence · doi:10.1016/s0376-8716(98)00028-3 · Cited by 1,141
Cited by
Sorted by citations
The behavioral economics of substance use disorders: reinforcement pathologies and their repair
Bickel, W. K., Johnson, M. W., Koffarnus, M. N., MacKillop, J., & Murphy, J. G. (2014) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032813-153724 · Cited by 655
Garland, E. L., Manusov, E. G., Froeliger, B., Kelly, A., Williams, J. M., & Howard, M. O. (2014) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0035798 · Cited by 431
New findings on biological factors predicting addiction relapse vulnerability
Sinha, R. (2011) · Current Psychiatry Reports · doi:10.1007/s11920-011-0224-0 · Cited by 401
Craving's place in addiction theory: Contributions of the major models
Skinner, M. D., & Aubin, H.-J. (2010) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.11.024 · Cited by 372
The role of affective dysregulation in drug addiction
Cheetham, A., Allen, N. B., Yücel, M., & Lubman, D. I. (2010) · Clinical Psychology Review · doi:10.1016/j.cpr.2010.04.005 · Cited by 308
Self-citation
Metadata
- Authors
- Lubman, D. I., Yücel, M., Kettle, J. W. L., Scaffidi, A., MacKenzie, T., Simmons, J. G., & Allen, N. B.
- Affiliations
- Orygen (AU)
- The University of Melbourne (AU)
- Venue
- Archives of General Psychiatry
- Publisher
- American Medical Association (AMA)
- Published
- 2009-02-01
- Volume
- 66
- Issue
- 2
- Pages
- 205
- ISSN
- 0003-990X (ISSN-L)
- OpenAlex
- W2006014464
- Cited by
- 176
- References
- 55
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 2 · 2023: 8 · 2022: 7 · 2021: 15 · 2020: 9 · 2019: 11 · 2018: 11 · 2017: 11 · 2016: 9 · 2015: 13 · 2014: 18 · 2013: 12 · 2012: 13
- FWCI
- 5.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Archives of General Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Opioid Use Disorder Treatment
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Keywords
- heroin addiction, opioid use disorder, drug cue reactivity, natural reward, hedonic response, anhedonia, P300, startle response, corrugator supercilii, facial electromyography, opioid substitution therapy, craving
- MeSH terms
- Adult, Affective Symptoms, Alcoholism, Arousal, Attention, Cerebral Cortex, Cues, Electromyography, Emotions, Female, Follow-Up Studies, Heroin Dependence, Humans, Male, Middle Aged, Motivation, Narcotics, Recurrence, Reward, Risk Factors, Reflex, Startle, Comorbidity, Event-Related Potentials, P300, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review