Andrés, P. (2003). Frontal cortex as the central executive of working memory: Time to revise our view. Cortex; A Journal Devoted to the Study of the Nervous System and Behavior, 39(4–5), 871–895. https://doi.org/10.1016/S0010-9452(08)70868-2

Article  PubMed  Google Scholar 

Andrés, P., Guerrini, C., Phillips, L. H., & Perfect, T. J. (2008). Differential effects of aging on executive and automatic inhibition. Developmental Neuropsychology, 33(2), 101–123. https://doi.org/10.1080/87565640701884212

Article  PubMed  Google Scholar 

Aron, A. R., Robbins, T. W., & Poldrack, R. A. (2014). Inhibition and the right inferior frontal cortex: One decade on. Trends in Cognitive Sciences, 18(4), 177–185. https://doi.org/10.1016/J.TICS.2013.12.003

Article  PubMed  Google Scholar 

Banz, B. C., Wu, J., Crowley, M. J., Potenza, M. N., & Mayes, L. C. (2016). Gender-related differences in inhibitory control and sustained attention among adolescents with prenatal cocaine exposure. Yale Journal of Biology and Medicine, 89(2), 143–151.

PubMed  PubMed Central  Google Scholar 

Barrós-Loscertales, A., Bustamante, J. C., Ventura-Campos, N., Llopis, J. J., Parcet, M. A., & Ávila, C. (2011). Lower activation in the right frontoparietal network during a counting stroop task in a cocaine-dependent group. Psychiatry Research, 194(2), 111–118. https://doi.org/10.1016/J.PSCYCHRESNS.2011.05.001

Article  PubMed  Google Scholar 

Begg, C. B., & Mazumdar, M. (1994). Operating characteristics of a rank correlation test for publication bias. Biometrics, 50(4), 1088–1101. https://doi.org/10.2307/2533446

Article  PubMed  Google Scholar 

Belisario, K. L., Lopez-Martin, G., González-Roz, A., Gervilla, E., & Andrés, P. (2025). Meta-Analysis Data & Code for: A Systematic Review and Meta-analysis of the impact of Cocaine Use on Cognitive Inhibition. Retrieved from https://osf.io/jq8rg

Bjork, J. M., Keyser-Marcus, L., Vassileva, J., Ramey, T., Houghton, D. C., & Moeller, F. G. (2022). Attentional function and inhibitory control in different substance use disorders. Psychiatry Research. https://doi.org/10.1016/J.PSYCHRES.2022.114591

Article  PubMed  PubMed Central  Google Scholar 

Boys, A., Marsden, J., & Strang, J. (2001). Understanding reasons for drug use amongst young people: A functional perspective. Health Education Research, 16(4), 457–469. https://doi.org/10.1093/HER/16.4.457

Article  PubMed  Google Scholar 

Breiter, H. C., Gollub, R. L., Weisskoff, R. M., Kennedy, D. N., Makris, N., Berke, J. D., Goodman, J. M., Kantor, H. L., Gastfriend, D. R., Riorden, J. P., Mathew, R. T., Rosen, B. R., & Hyman, S. E. (1997). Acute effects of cocaine on human brain activity and emotion. Neuron, 19(3), 591–611. https://doi.org/10.1016/S0896-6273(00)80374-8

Article  PubMed  Google Scholar 

Burton, S., Knibb, G., & Jones, A. (2021). A meta-analytic investigation of the role of reward on inhibitory control. Quarterly Journal of Experimental Psychology, 74(10), 1818–1828. https://doi.org/10.1177/17470218211008895

Article  Google Scholar 

Campbell, K. L., Lustig, C., & Hasher, L. (2020). Aging and inhibition: Introduction to the special issue. Psychology And Aging, 35(5), 605–613. https://doi.org/10.1037/PAG0000564

Article  PubMed  Google Scholar 

Carmody, D. P., Bennett, D. S., & Lewis, M. (2011). The effects of prenatal cocaine exposure and gender on inhibitory control and attention. Neurotoxicology and Teratology, 33(1), 61–68. https://doi.org/10.1016/J.NTT.2010.07.004

Article  PubMed  PubMed Central  Google Scholar 

Ceceli, A. O., Parvaz, M. A., King, S., Schafer, M., Malaker, P., Sharma, A., Alia-Klein, N., & Goldstein, R. Z. (2023). Altered prefrontal signaling during inhibitory control in a salient drug context in cocaine use disorder. Cerebral Cortex, 33(3), 597–611. https://doi.org/10.1093/CERCOR/BHAC087

Article  PubMed  Google Scholar 

Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed., pp. 1-567). Hillsdale, NJ: Lawrence Erlbaum Associates.

R Core Team (2025). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. https://www.R-project.org/

De Wit, H. (2009). Impulsivity as a determinant and consequence of drug use: A review of underlying processes. Addiction Biology, 14(1), 22–31. https://doi.org/10.1111/J.1369-1600.2008.00129.X

Article  PubMed  Google Scholar 

Dettori, J. R., Norvell, D. C., & Chapman, J. R. (2022). Fixed-Effect vs Random-Effects Models for Meta-Analysis: 3 Points to Consider. Global Spine Journal, 12(7), 1212–1626. https://doi.org/10.1177/21925682221110527

Article  Google Scholar 

Diamond, A. (2013). Executive functions. Annual Review of Psychology, 64, 135–168. https://doi.org/10.1146/annurev-psych-113011-143750

Article  PubMed  Google Scholar 

Donders, F. C. (1969). On the speed of mental processes. Acta Psychologica, 30, 412–431. https://doi.org/10.1016/0001-6918(69)90065-1

Article  PubMed  Google Scholar 

Duval, S. J., & Tweedie, R. L. (2000a). Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics, 56(2), 455–463. https://doi.org/10.1111/j.0006-341x.2000.00455.x

Article  PubMed  Google Scholar 

Duval, S. J., & Tweedie, R. L. (2000b). A nonparametric trim and fill method of accounting for publication bias in meta-analysis. Journal of the American Statistical Association, 95(449), 89–98. https://doi.org/10.1080/01621459.2000.10473905

Article  Google Scholar 

Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ (Clinical research ed.), 315(7109), 629–634. https://doi.org/10.1136/BMJ.315.7109.629

Article  PubMed  Google Scholar 

Elton, A., Young, J., Smitherman, S., Gross, R. E., Mletzko, T., & Kilts, C. D. (2014). Neural network activation during a stop-signal task discriminates cocaine-dependent from non-drug-abusing men. Addiction Biology, 19(3), 427–438. https://doi.org/10.1111/ADB.12011

Article  PubMed  Google Scholar 

Ersche, K. D., Roiser, J. P., Robbins, T. W., & Sahakian, B. J. (2008). Chronic cocaine but not chronic amphetamine use is associated with perseverative responding in humans. Psychopharmacology, 197(3), 421–431. https://doi.org/10.1007/S00213-007-1051-1

Article  PubMed  PubMed Central  Google Scholar 

Ersche, K. D., Jones, P. S., Williams, G. B., Turton, A. J., Robbins, T. W., & Bullmore, E. T. (2012). Abnormal brain structure implicated in stimulant drug addiction. Science, 335(6068), 601–604. https://doi.org/10.1126/science.1214463

Article  PubMed  Google Scholar 

Friedman, N. P., & Miyake, A. (2017). Unity and diversity of executive functions: Individual differences as a window on cognitive structure. Cortex; A Journal Devoted to the Study of the Nervous System and Behavior, 86, 186–204. https://doi.org/10.1016/J.CORTEX.2016.04.023

Article  PubMed  Google Scholar 

Gawin, F. H., & Kleber, H. D. (1986). Abstinence symptomatology and psychiatric diagnosis in cocaine abusers. Clinical observations. Archives of General Psychiatry, 43(2), 107–113. https://doi.org/10.1001/ARCHPSYC.1986.01800020013003

Article  PubMed  Google Scholar 

Goldstein, R. Z., & Volkow, N. D. (2002). Drug addiction and its underlying neurobiological basis: Neuroimaging evidence for the involvement of the frontal cortex. American Journal of Psychiatry, 159(10), 1642–1652. https://doi.org/10.1176/APPI.AJP.159.10.1642

Article  PubMed  Google Scholar 

Goldstein, R. Z., Volkow, N. D., Wang, G. J., Fowler, J. S., & Rajaram, S. (2001). Addiction changes orbitofrontal gyrus function: Involvement in response inhibition. Neuroreport, 12(11), 2595. https://doi.org/10.1097/00001756-200108080-00060

Article  PubMed  PubMed Central  Google Scholar 

Gomez, P., Ratcliff, R., & Perea, M. (2007). A model of the go/no-go task. Journal of Experimental Psychology: General, 136(3), 389–413. https://doi.org/10.1037/0096-3445.136.3.389

Article  PubMed  Google Scholar 

Hasher, L., & Zacks, R. T. (1988). Working Memory, Comprehension, and aging: A review and a new view. Psychology of Learning and Motivation - Advances in Research and Theory, 22, 193–225. https://doi.org/10.1016/S0079-7421(08)60041-9

Article  Google Scholar 

Hasher, L., Zacks, R. T., & May, C. P. (1999). Inhibitory Control, Circadian Arousal, and Age. In D. Gopher & A. Koriat (Eds.), Attention and Performance 17, 653–675. The MIT Press. https://doi.org/10.7551/MITPRESS/1480.003.0032

Hester, R., & Garavan, H. (2004). Executive dysfunction in cocaine addiction: Evidence for discordant frontal, cingulate, and cerebellar activity. The Journal of Neuroscience, 24(49), 11017–11022. https://doi.org/10.1523/JNEUROSCI.3321-04.2004

Article  PubMed  PubMed Central  Google Scholar 

Hester, R., Simões-Franklin, C., & Garavan, H. (2007). Post-error behavior in active cocaine users: Poor awareness of errors in the presence of intact performance adjustments. Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology, 32(9), 1974–1984.