Episodic future thinking (EFT), an exercise that involves cognitive simulation of future events, has demonstrated proximal effects on alcohol demand and delayed reward discounting (DRD). However, few studies have investigated EFT's potential to reduce alcohol use and increase positive behaviors outside of the laboratory. This study is the first to pilot an academic goal-relevant EFT (A-EFT) intervention for heavy drinking college students. The primary goals were to evaluate the feasibility and acceptability of A-EFT in this population. A secondary goal was to evaluate between-and within-condition changes from baseline to post-intervention and 1-month assessments. Participants were 45 undergraduates (73% women, 53% White, 27% Black) who reported at least two past-month heavy drinking episodes (4/5 drinks for women/men). Participants were randomized to a brief in-person A-EFT intervention or to a vivid memory task (VMT) control. In support of feasibility and acceptability, recruitment and retention rates were over 80% and participants rated the A-EFT intervention as enjoyable, personally relevant, and interesting. In support of initial efficacy, participants assigned to A-EFT increased the amount of time spent studying compared to controls (d = 1.16) at 1-month assessment. Participants in the A-EFT group reported moderate effect size reductions in alcohol consumption, and a similar size increase in protective drinking strategies. Demand intensity decreased moderately at post-intervention for participants in the A-EFT condition but there was little change in DRD. The current study provides support for the feasibility and acceptability of an academic goal-relevant EFT intervention and for further research to establish treatment efficacy.

High levels of 3 behavioral economic indices (delay discounting, alcohol demand, and proportionate substance-related reinforcement) are consistently associated with greater alcohol misuse and alcoholrelated problems. However, it is unclear whether and how these variables jointly increase the risk for alcohol-related outcomes among college students who engage in heavy episodic drinking (HED; 4/5ϩ drinks for women/men, respectively). The current study used a person-centered approach to identify similar patterns of behavioral economic domains among heavy-drinking college students and investigate the relationship between these empirically derived classes and alcohol-related outcomes. A sample of 393 college students (60.8% female, 78.9% White/Caucasian) reporting at least 2 heavy drinking episodes in the previous month completed measures of alcohol use and problems, demographics, delay discounting, and alcohol reward value (alcohol demand and proportionate substance-related reinforcement). Latent profile analyses revealed that a 3-class solution provided the best fit to the data: a low reward value, high discounting (LRHD) class (n ϭ 53), a moderate reward value, low discounting (MRLD) class (n ϭ 214), and a high reward value, high discounting (HRHD) class (n ϭ 126). Members of the HRHD class reported significantly greater alcohol consumption, past-month HED episodes, alcohol-related problems, and symptoms of alcohol use disorder than those in the MRLD and LRHD classes. The results suggest that there are 3 constellations of behavioral economic processes and that, consistent with the reinforcer pathology model, students who overvalue alcohol-related reward and discount the future more steeply are at the greatest risk for alcohol misuse and alcohol-related problems.

Objective: Mobile health (mHealth) interventions show potential to broaden the reach of efficacious alcohol brief motivational interventions (BMIs). However, efficacy is mixed and may be limited by low participant attention and engagement. The present study examined the feasibility, acceptability, and preliminary efficacy of a live text-message delivered BMI in a pilot randomized clinical trial. Method: Participants were 66 college students (63.6% women; 61.9% White; M age = 19.95, SD = 1.66) reporting an average of 11.88 (SD = 8.74) drinks per week, 4.42 (SD = 3.59) heavy drinking episodes (HDEs), and 8.44 (SD = 5.62) alcohol-related problems in the past month. Participants were randomized to receive either (a) education or (b) an alcohol BMI plus behavioral economic substance-free activity session (SFAS), each followed by 4 weeks of mini sessions. All sessions were administered via live text-message. Participants completed assessments postintervention (after the 4th mini session) and at 3-month follow-up. Results: 90.9% completed both initial full-length sessions and at least two of the four mini sessions with 87.9% retention at 3-month follow-up. Participants found the interventions useful, interesting, relevant, and effective, with no between-group differences. There were no statistically significant group differences in drinks per week or alcohol-related problems at follow-up, but BMI + SFAS participants reported fewer past-month HDEs than those who received education. Conclusions: Live text-messaging to deliver the BMI + SFAS is feasible and well-received. The preliminary efficacy results should be interpreted cautiously due to the small sample size but support further investigation.

Background: Alcohol-induced blackouts, a form of anterograde amnesia that restricts the encoding of short-term memories into long-term ones, are among the most severe alcohol-related consequences. College students are at high risk of experiencing alcohol-induced blackouts, and there is a need to determine whether alcohol interventions can effectively reduce blackouts in this population. The current study uses data from 3 randomized clinical trials to examine the effect of various intervention approaches on alcohol-induced blackouts. Methods: Four interventions were compared over 3 studies: (i) a computerized feedback intervention (electronic CheckUp To Go [e-Chug]; Study 1); (ii) a single-session brief motivational intervention (BMI; Study 1); (iii) a BMI plus behavioral economic session focused on increasing substance-free activities (BMI + Substance-Free Activity Session [SFAS]; Studies 2 and 3); and (iv) a BMI plus supplemental Relaxation Training session (BMI + Relaxation Training; Studies 2 and 3). Studies 1 and 3 also included an assessment-only control condition. For each study, participants reported whether they had experienced an alcohol-induced blackout at each time point; binary logistic regressions examined differential likelihood of experiencing an alcohol-induced blackout over time. Results: Neither the single-session BMI nor e-Chug reduced alcohol-induced blackouts over assessment only; however, participants in the BMI + SFAS or BMI + Relaxation Training condition were significantly less likely to experience an alcohol-induced blackout compared to assessment only at 1month (Wald = 4.77, odds ratio [OR] = 0.53, p = 0.03) and 6-month follow-ups (Wald = 5.72, OR = 0.52, p = 0.02). Study 2 also revealed a larger effect for the BMI + SFAS over the BMI + Relaxation Training condition at 6 months (Wald = 4.11 OR = 0.22, p = 0.043), although this was not replicated in Study 3. The effects for the 2-session BMIs lasted 6 months, at which point maturation effects diminished differences between assessment-only and intervention conditions. Conclusions: Two sessions of BMI are a substantial enough dose to result in reductions in alcoholinduced blackouts among college student heavy drinkers.

Objective: Diminished access to environmental rewards is an established risk factor for addiction and a focus of many effective treatment approaches. Nevertheless, there is inconsistency in measurement approaches and a need for a psychometrically sound measure. The Reward Probability Index (RPI; Carvalho, Behavior Therapy, 42, 2011, pp. 249–262) is a 20-item self-report rating scale that measures access to and ability to experience psychosocial reward. Method: The current studies sought to evaluate the psychometric properties of the RPI in 2 samples of emerging adult heavy drinkers. Results: In Study 1, exploratory factor analysis in a sample of 393 college student drinkers supported a 2-factor model of the RPI (Reward Probability and Environmental Suppressors) after removal of redundant items, and corresponding subscales demonstrated good internal consistency. In Study 2, confirmatory factor analysis with 602 emerging adult drinkers recruited from the community supported the 2-factor model as best fitting after removal of one poor indicator, although absolute fit was only adequate. This 2-factor model demonstrated configural, metric, and scalar invariance across non-college and college subgroups as well as Black and White subgroups. Study 2 also demonstrated that the revised RPI subscales showed significant associations with measures of substance-free activity participation and enjoyment, anhedonia, and depressive symptoms. Furthermore, the study revealed the RPI Environmental Suppressors subscale predicted alcohol-related problems (β = .25, p < .001) beyond demographic covariates, weekly drinking, and depressive symptoms. Conclusions: These studies provide evidence for the validity of the RPI as an efficient measure of access to reward among emerging adult heavy drinkers.