Several theories posit that alcohol is consumed both in relation to one’s mood and in relation to different motives for drinking. However, there are mixed findings regarding the role of mood and motives in predicting drinking. Ecological momentary assessment (EMA) methods provide an opportunity to evaluate near real-time changes in mood and motives within individuals to predict alcohol use. In addition, endorsement of criteria of an alcohol use disorder (AUD) may also be sensitive to changes within subjects. The current study used EMA with 74 moderate drinkers who responded to fixed and random mood, motive, alcohol use, and AUD criteria prompts over a 21-day assessment period. A temporal pattern of daytime mood, evening drinking motivation, and nighttime alcohol use and acute AUD symptoms on planned drinking days was modeled to examine how these associations unfold throughout the day. The results suggest considerable heterogeneity in drinking motivation across drinking days. Additionally, an affect regulation model of drinking to cope with negative mood was observed. Specifically, on planned drinking days, the temporal association between daytime negative mood and the experience of acute AUD symptoms was mediated via coping motives and alcohol use. The current study found that motives are dynamic, and that changes in motives may predict differential drinking patterns across days. Further, the study provides evidence that emotion-regulation-driven alcohol involvement may need to be examined at the event level to fully capture the ebb and flow of negative affect motivated drinking.

It is important to understand the individual differences that contribute to greater frequency or intensity of marijuana use, or greater frequency of experiencing marijuana-related problems. The current study examined several elements of behavioral and emotional self-regulation as predictors of the likelihood and intensity of both marijuana use and marijuana-related problems. As predicted, indices of behavioral self-regulation (self-control, sensation seeking) were better predictors of marijuana use, while indices of emotional self-regulation (affect, distress tolerance, and emotional instability) better predicted marijuana-related problems. Surprisingly, urgency was not related to use but was predictive of problems, and there were no significant interactions between behavioral and emotional self-regulation in predicting either use or problems. From these findings we conclude that while behavioral dysregulation may put individuals at risk for using marijuana, or using it more frequently, it is those individuals with difficulty in emotional self-regulation that are at risk for experiencing negative consequences as a result of their marijuana use. Clinically, these data are relevant; clinicians might focus more on addressing emotional regulation in order to lessen or eliminate the consequences of marijuana use.

Background Although marijuana is the most commonly used illicit substance in the US, only a small portion of users go on to develop dependence, suggesting that there are substantial individual differences in vulnerability to marijuana-related problems among users. Deficits in working memory and high trait impulsivity are two factors that may place marijuana users at increased risk for experiencing related problems. Methods Using baseline data from an experimental study that recruited 104 frequent marijuana users (M=71.86% of prior 60 days, SD=22%), we examined the associations of working memory and trait impulsivity with marijuana-related problems. Results Lower working memory, as measured by Trail Making Test B, but not short-term memory capacity, predicted more marijuana-related problems. Higher trait impulsivity scores were independently associated with greater number of problems. Conclusions Results suggest that marijuana users with reduced executive cognitive ability are more susceptible to developing problems related to their use. Trait impulsivity and executive working memory appear to be independent risk factors for experiencing marijuana-related problems.

Rationale Smoking lapses (i.e., returns to smoking after quitting) often occur following alcohol consumption with observational data suggesting greater quantities of alcohol lead to greater risk. However, a causal dose-dependent effect of alcohol consumption on smoking lapse behavior has not been established, and the mechanisms that might account for such an effect have not been tested. Objectives In a within-subjects design, we examined effects of low (0.4 g/kg) and high (0.8 g/kg) dose alcohol, relative to placebo, on smokers’ ability to resist initiating smoking after acute smoking abstinence. Methods Participants were 100 heavy alcohol drinkers, smoking 10–30 cigarettes per day. Across three separate days, participants consumed placebo, low, or high dose alcohol following 3 h of smoking abstinence, and 35 min later were offered the opportunity to smoke while resisting smoking was monetarily reinforced proportional to the amount of time delayed. Results Consistent with a dose-response effect, participants smoked 3.35 min (95% CI [−7.09, 0.40], p=.08) earlier following low dose alcohol and 6.36 min (95% CI [−9.99, −2.73], p=.0006) earlier following high dose alcohol compared to drinking a placebo beverage. Effects of dose on smoking behavior were partially mediated by increases in urge to smoke. There was no evidence that alcohol’s effects on urge to smoke or ability to resist smoking were mediated through its stimulating or sedating effects. Conclusions Alcohol can reduce the ability to resist smoking in a dose-dependent fashion, in part, due to its effect on increasing the intensity of smoking urges.