Cited by 513Neurotransmitter Receptor Influence on BehaviorSubstance Abuse Treatment and OutcomesNeural and Behavioral Psychology Studies

Factors modulating neural reactivity to drug cues in addiction: a survey of human neuroimaging studies

Open access
Jasinska, Agnes J., Stein, Elliot A., Kaiser, Jochen, Naumer, Marcus J., Yalachkov, Yavor·2014·Neuroscience & Biobehavioral Reviews

Abstract

Human neuroimaging studies suggest that neural cue reactivity is strongly associated with indices of drug use, including addiction severity and treatment success. However, little is known about factors that modulate cue reactivity. The goal of this review, in which we survey published fMRI and PET studies on drug cue reactivity in cocaine, alcohol, and tobacco cigarette users, is to highlight major factors that modulate brain reactivity to drug cues. First, we describe cue reactivity paradigms used in neuroimaging research and outline the brain circuits that underlie cue reactivity. We then discuss major factors that have been shown to modulate cue reactivity and review specific evidence as well as outstanding questions related to each factor. Building on previous model-building reviews on the topic, we then outline a simplified model that includes the key modulatory factors and a tentative ranking of their relative impact. We conclude with a discussion of outstanding challenges and future research directions, which can inform future neuroimaging studies as well as the design of treatment and prevention programs.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.neubiorev.2013.10.013

Cites

154 of 154 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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 humans, cue-induced craving involves activation of circuits similar to those in animals, with drug-associated and non-drug addiction cues activating the prefrontal cortex, including dorsolateral prefrontal cortex, anterior cingulate gyrus, and medial orbitofrontal cortex.

    “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”

    From Neurobiology of addiction: a neurocircuitry analysis (2016) · cites this paper as [105]

    Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

    Experimental — accuracy not yet measured
  • The Go system could drive craving and engage habits via the basal ganglia.

    “The Go system could drive craving and engage habits via the basal ganglia.105,127”

    From Neurobiology of addiction: a neurocircuitry analysis (2016) · cites this paper as [105]

  • In drug-dependent humans, drug cues consistently increase BOLD responses in the STR, BLA, VTA, PFC, hippocampus, and NAc.

    “In drug-dependent humans, drug cues consistently increase BOLD responses in the STR, BLA, VTA, PFC, hippocampus, and NAc (Grusser et al., 2004, Jasinska et al., 2014, Lukas et al., 2013, Maas et al., 1998).”

    From Sensitive periods of substance abuse: Early risk for the transition to dependence (2017) · cites this paper as Jasinska et al., 2014

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 2

  1. Everitt BJ Robbins TW Neural systems of reinforcement for drug addiction: from actions to habits to compulsion Nat Neurosci 2005b 8 1481 1489 16251991
  2. Janes AC Pizzagalli DA Richardt S deB Frederick B Chuzi S Pachas G Culhane MA Holmes AJ Fava M Evins AE Kaufman MJ Brain reactivity to smoking cues prior to smoking cessation predicts ability to maintain tobacco abstinence Biol Psychiatry 2010b 67 722 729 20172508 PMC2954596

Cited by

Sorted by citations

Authors
Jasinska, A. J., Stein, E. A., Kaiser, J., Naumer, M. J., & Yalachkov, Y.
Affiliations
  • National Institute on Drug Abuse (US)
  • Goethe University Frankfurt (DE)
Corresponding author
  • Jasinska, Agnes J.
  • Yalachkov, Yavor
Venue
Neuroscience & Biobehavioral Reviews
Publisher
Elsevier BV
Published
2014-01
Volume
38
Pages
1-16
ISSN
0149-7634 (ISSN-L)
OpenAlex
W2020327987
Cited by
513
References
154
Citations by year
2026: 20 · 2025: 29 · 2024: 30 · 2023: 38 · 2022: 39 · 2021: 44 · 2020: 64 · 2019: 42 · 2018: 48 · 2017: 45 · 2016: 50 · 2015: 42 · 2014: 21 · 2013: 1
FWCI
3.86
Type
journal article
Language
en
Open access
Locations
  • Neuroscience & Biobehavioral Reviews (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institutes of Health (Z99 DA999999)
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords
drug cue reactivity, addiction, cocaine use, alcohol consumption, smoking, brain circuits, addiction severity, treatment outcomes
MeSH terms
Brain, Brain Mapping, Cues, Humans, Models, Neurological, Behavior, Addictive, Substance-Related Disorders

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