Drug-related stimuli impair inhibitory control in cocaine abusers
Open accessAbstract
Background Cocaine users show impaired inhibitory control on cued go/no-go tasks and attention bias to drug-related stimuli in the emotional Stroop task. The results of a previous study suggested that there is a relationship between inhibitory control and attention bias in alcohol drinkers such that the presentation of alcohol-related images as a go cue in a cued go/no-go task significantly impaired inhibitory control compared to neutral images as a go cue. The present study determined the generality of these previous findings by assessing inhibitory control in cocaine users utilizing a modified cued go/no-go task with cocaine or neutral images as the cues.Methods Non-treatment seeking cocaine users (N=30) completed the modified task after completing detailed measures of demographics and drug use. Participants were matched on basic demographic factors and were assigned to groups in which they saw either a cocaine or neutral image as the go cue.Results Participants assigned to the cocaine image go cue condition had a significantly higher proportion of inhibitory failures to the no-go target than their counterparts assigned to the neutral cue condition, but there were no group differences on reaction time (i.e., accuracy was not traded for speed).Conclusions Cocaine users were less able to inhibit pre-potent responses when a cocaine-related image served as the go cue than when a neutral image served as the go cue, consistent with previous research in alcohol users. The outcomes suggest that cocaine-related cues produce disinhibition, perhaps contributing to the high incidence of relapse or continued cocaine use.
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.
Integrity signals
Registry
Cites
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.
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?
Subjects with specific Internet-use disorders may have difficulties in inhibiting responses to stimuli, which represent their first-choice-use.
“We hypothesize that subjects with specific Internet-use disorders may have difficulties in inhibiting responses to stimuli, which represent their first-choice-use, as has been shown in binge drinkers (Czapla et al., 2015) and substancedependent individuals (e.g., Pike et al., 2013).”
From Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders: An Interaction of Person-Affect-Cognition-Execution (I-PACE) model (2016) · cites this paper as Pike et al., 2013
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
Beaton, A. E., & Keppel, G. (1975) · American Educational Research Journal · doi:10.2307/1162588 · Cited by 5,857 · see citing works
Impaired inhibitory control of behavior in chronic cocaine users
Fillmore, M. T., & Rush, C. R. (2002) · Drug and Alcohol Dependence · doi:10.1016/s0376-8716(01)00206-x · Cited by 519 · see citing works
Self-citationVerdejo‐García, A., & Pérez-Garcı́a, M. (2006) · Psychopharmacology · doi:10.1007/s00213-006-0632-8 · Cited by 305 · see citing works
Cognitive impulsivity in cocaine and heroin polysubstance abusers
Verdejo‐García, A., Perales, J. C., & Pérez-Garcı́a, M. (2006) · Addictive Behaviors · doi:10.1016/j.addbeh.2006.06.032 · Cited by 302 · see citing works
Drug Abuse as a Problem of Impaired Control: Current Approaches and Findings
Fillmore, M. T. (2003) · Behavioral and Cognitive Neuroscience Reviews · doi:10.1177/1534582303257007 · Cited by 292 · see citing works
Self-citationDetected, selected, and sometimes neglected: cognitive processing of cues in addiction.
Ryan, F. (2002) · Experimental and Clinical Psychopharmacology · doi:10.1037//1064-1297.10.2.67 · Cited by 113 · see citing works
Lane, S. D., Moeller, F. G., Steinberg, J. L., Buzby, M., & Kosten, T. R. (2007) · The American Journal of Drug and Alcohol Abuse · doi:10.1080/00952990701522724 · Cited by 93 · see citing works
Liu, S., Lane, S. D., Schmitz, J. M., Waters, A. J., Cunningham, K. A., & Moeller, F. G. (2011) · The American Journal of Drug and Alcohol Abuse · doi:10.3109/00952990.2010.543204 · Cited by 90 · see citing works
Alcohol-related stimuli reduce inhibitory control of behavior in drinkers
Weafer, J. J., & Fillmore, M. T. (2012) · Psychopharmacology · doi:10.1007/s00213-012-2667-3 · Cited by 81 · see citing works
Self-citationDetected, selected, and sometimes neglected: cognitive processing of cues in addiction.
Ryan, F. (2002) · Experimental and Clinical Psychopharmacology · doi:10.1037/1064-1297.10.2.67 · Cited by 81 · see citing works
Sevak, R. J., Vansickel, A. R., Stoops, W. W., Glaser, P. E. A., Hays, L. R., & Rush, C. R. (2011) · Journal of Clinical Psychopharmacology · doi:10.1097/jcp.0b013e318221b2db · Cited by 35 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- Keppel G Planned comparisons. In: Design and Analysis: A Researcher’s Handbook 1991 Third Edition Prentice Hall, Upper Saddle River NJ 165 166
Cited by
Sorted by citations
Brand, M., Young, K. S., Laier, C., Wölfling, K., & Potenza, M. N. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.08.033 · Cited by 2,153 · see citing works
“We hypothesize that subjects with specific Internet-use disorders may have difficulties in inhibiting responses to stimuli, which represent their first-choice-use, as has been shown in binge drinkers (Czapla et al., 2015) and substancedependent individuals (e.g., Pike et al., 2013).”
Brand, M., Young, K. S., & Laier, C. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00375 · Cited by 565 · see citing works
“One may hypothesize that individuals with Internet addiction react differently on stimuli, which explicitly show Internet-related content and have difficulty in inhibiting responses only to those stimuli, as it has been shown in substance-dependent individuals (e.g., Pike et al., 2013).”
BackgroundCognitive impairment in substance use disorders
Ramey, T., & Regier, P. S. (2018) · CNS Spectrums · doi:10.1017/s1092852918001426 · Cited by 219 · see citing works
Fronto-striatal circuits in response-inhibition: Relevance to addiction
Morein‐Zamir, S., & Robbins, T. W. (2014) · Brain Research · doi:10.1016/j.brainres.2014.09.012 · Cited by 155 · see citing works
Yao, Y.-W., Wang, L.-J., Yip, S. W., Chen, P.-R., Li, S., Xu, J., Zhang, J.-T., Deng, L.-Y., Liu, Q.-X., & Fang, X.-Y. (2015) · Psychiatry Research · doi:10.1016/j.psychres.2015.07.004 · Cited by 108 · see citing works
Recent insights into the neurobiology of impulsivity
Mitchell, M. R., & Potenza, M. N. (2014) · Current Addiction Reports · doi:10.1007/s40429-014-0037-4 · Cited by 70 · see citing works
Leeman, R. F., Robinson, C. D., Waters, A. J., & Sofuoglu, M. (2014) · Experimental and Clinical Psychopharmacology · doi:10.1037/a0037806 · Cited by 66 · see citing works
Alcohol-related cues potentiate alcohol impairment of behavioral control in drinkers.
Weafer, J. J., & Fillmore, M. T. (2014) · Psychology of Addictive Behaviors · doi:10.1037/adb0000013 · Cited by 55 · see citing works
Self-citationDeVito, E. E., Kiluk, B. D., Nich, C., Mouratidis, M., & Carroll, K. M. (2017) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2017.10.022 · Cited by 35 · see citing works
The effects of exposure to appetitive cues on inhibitory control: A meta-analytic investigation
Jones, A., Robinson, E., Duckworth, J. J., Kersbergen, I., Clarke, N., & Field, M. (2018) · Appetite · doi:10.1016/j.appet.2018.06.024 · Cited by 35 · see citing works
A pilot investigation of acute inhibitory control training in cocaine users
Alcorn, J. L., Pike, E., Stoops, W. W., Lile, J. A., & Rush, C. R. (2017) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2017.01.014 · Cited by 28 · see citing works
Self-citationAnti-saccade error rates as a measure of attentional bias in cocaine dependent subjects
Dias, N. R., Schmitz, J. M., Rathnayaka, N. S., Red, S. D., Sereno, A. B., Moeller, F. G., & Lane, S. D. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2015.07.006 · Cited by 28 · see citing works
Acute effects of cocaine and cannabis on response inhibition in humans: an ERP investigation
Spronk, D. B., de Bruijn, E. R. A., van Wel, J. H. P., Ramaekers, J. G., & Verkes, R. J. (2015) · Addiction Biology · doi:10.1111/adb.12274 · Cited by 24 · see citing works
Pike, E., Marks, K. R., Stoops, W. W., & Rush, C. R. (2015) · Addiction · doi:10.1111/add.12947 · Cited by 22 · see citing works
Self-citationSu, B., Yang, L., Wang, G., Wang, S., Li, S., Cao, H. R., & Zhang, Y. (2017) · The American Journal of Drug and Alcohol Abuse · doi:10.1080/00952990.2017.1283695 · Cited by 20 · see citing works
Generalised inhibitory impairment to appetitive cues: From alcoholic to non-alcoholic visual stimuli
Monk, R. L., Qureshi, A., Pennington, C. R., & Hamlin, I. (2017) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2017.07.038 · Cited by 18 · see citing works
Flack, K. D., Anderson, R. E., McFee, K. F., Kryscio, R., & Rush, C. R. (2022) · Physiology & Behavior · doi:10.1016/j.physbeh.2022.113711 · Cited by 17 · see citing works
Self-citationRomero‐Martínez, Á., & Moya‐Albiol, L. (2015) · Adicciones · doi:10.20882/adicciones.194 · Cited by 15 · see citing works
Strickland, J. C., Bolin, B. L., Romanelli, M. R., Rush, C. R., & Stoops, W. W. (2017) · Human Psychopharmacology Clinical and Experimental · doi:10.1002/hup.2567 · Cited by 15 · see citing works
Self-citationTheoretical Models of the Development and Maintenance of Internet Addiction
Brand, M. (2017) · Studies in neuroscience, psychology and behavioral economics · doi:10.1007/978-3-319-46276-9_2 · Cited by 15 · see citing works
Disentangling the effects of cannabis and cigarette smoking on impulsivity
Round, J. T., Fozard, T. E., Harrison, A. A., & Kolokotroni, K. Z. (2020) · Journal of Psychopharmacology · doi:10.1177/0269881120926674 · Cited by 11 · see citing works
Li, X., Li, W., Chen, H., Cao, N., & Zhao, B. (2021) · Psychopharmacology · doi:10.1007/s00213-021-05898-5 · Cited by 11 · see citing works
Differential profiles of cognitive and behavioral inflexibility in addictive disorders
Lim, T. V., & Ersche, K. D. (2024) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2024.101402 · Cited by 9 · see citing works
Jones, A., & Field, M. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-815298-0.00019-8 · Cited by 9 · see citing works
Rush, C. R., Strickland, J. C., Pike, E., Studts, C. R., & Stoops, W. W. (2019) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2019.107803 · Cited by 9 · see citing works
Self-citationEffect of a social peer on risky decision making in male Sprague Dawley rats.
Weiss, V. G., Hammerslag, L. R., & Bardo, M. T. (2019) · Experimental and Clinical Psychopharmacology · doi:10.1037/pha0000298 · Cited by 7 · see citing works
Pike, E., Marks, K. R., Stoops, W. W., & Rush, C. R. (2017) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.13500 · Cited by 7 · see citing works
Self-citationAnimal Models of Addiction: Genetic Influences
Holtz, N. A., & Carroll, M. E. (2016) · Springer eBooks · doi:10.1007/978-1-4939-3777-6_10 · Cited by 6 · see citing works
The effects of exposure to appetitive cues on inhibitory control: A meta-analytic investigationPreprint
Jones, A., Robinson, E., Duckworth, J. J., Kersbergen, I., Clarke, N., & Field, M. (2018) · doi:10.31234/osf.io/bdky6 · Cited by 5 · see citing works
Acute methylphenidate administration reduces cocaine-cue attentional bias
Alcorn, J. L., Strickland, J. C., Lile, J. A., Stoops, W. W., & Rush, C. R. (2020) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2020.109974 · Cited by 4 · see citing works
Self-citationCharacterizing motor impulsivity of individuals classified as overweight to obese
Flack, K. D., Anderson, R. E., McFee, K. F., & Day, B. T. (2023) · Sports Medicine and Health Science · doi:10.1016/j.smhs.2023.08.003 · Cited by 4 · see citing works
Stroop, Cocaine Dependence, and Intrinsic Connectivity
Mitchell, M. R., & Potenza, M. N. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-803750-8.00034-8 · Cited by 4 · see citing works
Neural correlates of preferred activities: development of an interest-specific go/nogo task
Bos, D. J., Ajodan, E. L., Silverman, M. R., Dyke, J. P., Durston, S., Power, J. D., & Jones, R. M. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx127 · Cited by 3 · see citing works
Cocaine Cues Used in Experimental Research: A Systematic Review
Brobbin, E., Lowry, N., Cella, M., Copello, A. G., Coulton, S., Pietro, J. D., Drummond, C., Glautier, S., Kiyak, C., Phillips, T., et al. (2025) · Brain Sciences · doi:10.3390/brainsci15060626 · Cited by 2 · see citing works
EYE-tracking measures of attentional bias in cocaine-dependent subjects
Dias, N. R., Schmitz, J. M., Rathnayaka, N. S., Moeller, F. G., & Lane, S. D. (2014) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2014.02.157 · Cited by 2 · see citing works
Su, B., & Zheng, M. (2019) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2019.01863 · Cited by 2 · see citing works
Drug Abuse & Cognitive Functioning
Nautiyal, A. (2023) · Mental Health & Human Resilience International Journal · doi:10.23880/mhrij-16000227 · Cited by 1 · see citing works
DECISION-MAKING PROCESSES, DRIVING PERFORMANCE, AND ACUTE RESPONSES TO ALCOHOL IN DUI OFFENDERS
Roberts, W. (2016) · UKnowledge (University of Kentucky) · doi:10.13023/etd.2016.257 · Cited by 1 · see citing works
Nikolaidou, M. (2015) · The University of Bath Online Publications Store (The University of Bath)
The Influence of Cocaine-Related Images on Inhibitory Control in Cocaine Users
Pike, E. (2017) · UKnowledge (University of Kentucky) · doi:10.13023/etd.2017.320
Self-citationSelf-regulation and alcohol consumption : understanding university students' motivation for drinking
Bagheri, M. (2017) · Bangor University Research Portal (Bangor University)
Leung, D. (2017) · Figshare
Congia, P., & Gabriella, B. M. (2025) · Psychopharmacology · doi:10.1007/s00213-025-06942-4
Rodin, N. M., Smith, C. L., Ryan, R., Miguel, A. C., Saxon, A. J., & McPherson, S. (2026) · Drug and Alcohol Dependence Reports · doi:10.1016/j.dadr.2026.100460
- Authors
- Pike, E., Stoops, W. W., Fillmore, M. T., & Rush, C. R.
- Affiliations
- University of Kentucky (US)
- Corresponding author
- Rush, Craig R.
- Venue
- Drug and Alcohol Dependence
- Publisher
- Elsevier BV
- Published
- 2013-12
- Volume
- 133
- Issue
- 2
- Pages
- 768-771
- ISSN
- 0376-8716 (ISSN-L)
- PMC
- PMC3818419
- OpenAlex
- W2014370373
- Cited by
- 46
- References
- 10
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 1 · 2023: 3 · 2022: 1 · 2021: 1 · 2020: 2 · 2019: 4 · 2018: 3 · 2017: 12 · 2016: 3 · 2015: 7 · 2014: 6
- FWCI
- 3.89
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Drug and Alcohol Dependence (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Drug Abuse (R01DA025591, R21DA035481, R21DA034095, R01DA025032, R01DA032254, R01 DA025031)
- Topics
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- cocaine use, inhibitory control, drug-related cues, attentional bias, emotional Stroop task, disinhibition, relapse, substance use disorders
- MeSH terms
- Adult, Attention, Cues, Female, Humans, Inhibition, Psychological, Male, Middle Aged, Psychomotor Performance, Socioeconomic Factors, Cocaine-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