Cocaine use disorder (CUD) continues to be an important public health problem and novel approaches are needed to improve the effectiveness of treatments for CUD. Recently, there has been increased interest in the role of automatic cognition such as attentional bias (AB) in addictive behaviors and AB has been proposed to be a cognitive marker for addictions. Automatic cognition may be particularly relevant to CUD as there is evidence for particularly robust AB to cocaine cues and strong relationships to craving for cocaine and other illicit drugs. Further, the wide-ranging cognitive deficits (e.g., in response inhibition and working memory) evinced by many cocaine users enhance the potential importance of interventions targeting automatic cognition in this population. In the current paper, we discuss relevant addiction theories, followed by a review of studies that examined AB in CUD. We then consider the neural substrates of attentional bias including human neuroimaging, neurobiological and pharmacological studies. We conclude with a discussion of research gaps and future directions for attentional bias in CUD.

African American cigarette smokers have lower rates of cessation than Whites and live in communities with a higher number of tobacco advertisements. Exposure to smoking cues may promote smoking and undermine cessation. It may be possible to reduce attention to smoking cues (“attentional bias”). In this study, we investigated the effect of Attentional re-training (AR) on attentional bias and smoking in African-American smokers. Non-treatment seeking African American smokers (N = 64) were randomly assigned to an AR or Control condition. Participants were given a mobile device for 2 weeks and prompted to complete up to three AR (or control) trainings per day. Participants completed assessments of attentional bias, craving, and smoking both in the lab and in the field. Participants in the AR and Control conditions completed an average of 29.07 AR (SD = 12.48) and 30.61 control training tasks (SD = 13.07), respectively. AR reduced attentional bias assessed in the laboratory, F (1,126) = 9.20, p = .003, and field, F (1, 374) = 6.18, p = .01. This effect generalized to new stimuli, but not to new tasks. AR did not significantly reduce craving or biological measures of smoking. Smoking assessed on the mobile device declined over days in the AR group, F (1, 26) = 10.95, p = .003, but not in the Control group, F (1, 27) = 0.02, p = .89. Two weeks of AR administered on a mobile device reduced attentional bias in African American smokers and had mixed effects on smoking.

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Black smokers have greater difficulty quitting tobacco than White smokers, but the mechanisms underlying between-race differences in smoking cessation are not clear. One possibility is that Black smokers experience greater acute withdrawal than Whites. We investigated whether Black (n = 104) and White smokers (n = 99) differed in abstinence-induced changes in self-report, physiological, and cognitive performance measures. Smokers not wishing to quit completed two counterbalanced experimental sessions. Before one session, they abstained from smoking for at least 12 hr. They smoked normally before the other session. Black smokers reported smaller abstinence-induced changes on a number of subjective measures including the total score of the 10-item Questionnaire for Smoking Urges (QSU) and the total score of the Wisconsin Smoking Withdrawal Scale (WSWS). However, on most subjective measures, and on all objective measures, there were no between-race differences in abstinence-induced change scores. Moreover, Black participants did not report lower QSU and WSWS ratings at the abstinent session, but they did experience significantly higher QSU and WSWS ratings at the nonabstinent session. Abstinence-induced changes in subjective, physiological, and cognitive measures in White smokers were similar for smokers of nonflavored and menthol-flavored cigarettes. There was no evidence that Black smokers experienced greater acute tobacco withdrawal than Whites. To the contrary, Black participants experienced smaller abstinence-induced changes in self-reported craving and withdrawal on some measures. Racial differences in smoking cessation are unlikely to be explained by acute withdrawal.

The rates of co-occurring cannabis and tobacco use are higher among African Americans relative to other racial/ethnic groups. One plausible approach to treating co-use among African Americans is to examine the effectiveness of treatments for the sole use of cannabis and tobacco to identify effective approaches that might be combined to treat the dual use of these substances. The current meta-analysis sought to include studies that reported cannabis and/or tobacco use outcomes from randomized clinical trials (RCTs) with 100% African American samples. A total of 843 articles were considered for inclusion, 29 were reviewed by independent qualitative coders, and 22 were included in the review. There were no articles on cannabis use treatment with a 100% African American sample, resulting in a need to lower the threshold (60%) and conduct a scoping review of cannabis studies. Preliminary evidence from a small number of studies (k = 7) supports the use of Motivational Interviewing and Cognitive–Behavioral Therapy to treat cannabis use among African Americans, but not Contingency Management. Results from a meta-analysis of 15 tobacco studies found higher rates of smoking abstinence in the treatment condition relative to control conditions overall and across short and long-term follow-up periods. Significant differences in smoking abstinence were also found when examining the effects of pharmacological treatments relative to their control conditions. The clinical and research implications of these findings for future psychosocial and pharmacological trials for cannabis and tobacco use and co-use among African Americans are described.