Measuring Readiness to Change Substance Use, Alcohol Use, and Cannabis Use: An Experimental Manipulation of Cognitive Effort.

Background: The Transtheoretical Model supports that readiness to change should predict actual substance-related behavior change. This relationship is surprisingly modest. Across several behavioral domains, individuals tend to have unrealistic expectations regarding the amount of effort and time required to successfully change one's behaviors, dubbed the False Hope Syndrome. Objectives: Based on False Hope Syndrome, we expect the standard method of measuring self-reported readiness to change is overestimated. To test this hypothesis, we experimentally manipulated level of cognitive effort prior to completing readiness to change measures. College students from a large southwestern university who reported using substances in the past 30 days (n = 345) were recruited from a psychology department participant pool and randomized to one of three conditions: 1) standard, low effort condition, 2) medium effort condition (selected likes/dislikes of substance use and negative consequences of changing one's use), and 3) high effort condition (also provided written responses to how they would handle difficult situations related to changing their substance use). We conducted one-way ANOVAs with Tukey post-hoc comparisons to examine differences on three measures of readiness to change: the University of Rhode Island Change Assessment (URICA) scale as well as readiness and motivation rulers. Results: Contrary to our hypothesis, all significant statistical tests supported higher cognitive effort conditions reporting higher readiness to change. Although effect sizes were modest, higher cognitive effort appeared to increase self-reported readiness to change substance use. Conclusions: Additional work is needed to test how self-reported readiness to change relates to actual behavior change when assessed under the different effort conditions.

Measurement invariance of the University of Rhode Island Change Assessment Scale in Project MATCH: An exploratory structural equation modeling approach.

BACKGROUND: Progression through the stages of change is a proposed mechanism underlying the effects of treatment for alcohol use disorder (AUD). However, examining stages of change as a mechanism of treatment effects requires that the measure be invariant across patient subgroups, treatment conditions, and time. In this study, we examined measurement invariance of the University of Rhode Island Change Assessment Scale (URICA) in Project MATCH using an exploratory structural equation modeling (ESEM) approach. METHODS: We conducted a secondary analysis of data from Project MATCH (N = 1726; Mage  = 40.2, SD = 10.9; 75.7% male; 80% non-Hispanic white), a multisite randomized clinical trial that tested three AUD treatments: Motivational Enhancement Therapy, Cognitive-Behavioral Therapy, or Twelve-Step Facilitation. Participants completed the 24-item URICA for assessing the stages of change in relation to drinking at baseline and post-treatment (3 months after baseline). RESULTS: A 4-factor ESEM provided a good fit to the data and a better fit to the data than a conventional 4-factor confirmatory factor analysis model. Further, the URICA demonstrated scalar invariance across each patient subgroup at baseline (sex, ethnicity, marital status, education, and parental history of AUD) and treatment condition at follow-up. However, the URICA was not longitudinally invariant as the metric model resulted in a significant decrement in model fit. CONCLUSIONS: Measurement invariance of the URICA over time was not supported. Longitudinally invariant measures of the stages of change are needed to test the proposal that progression through the stages explains treatment effects.

Examining Cross-Country and Sex Differences on a Comprehensive Assessment of Protective Behavioral Strategies for Alcohol.

OBJECTIVE: Use of protective behavioral strategies (PBS) has been associated with reduced alcohol-related harms among college students. However, most of this research has been conducted among U.S. samples. The present study examines the use of PBS in an international context. METHOD: Participants (n = 1512) were recruited from universities in Spain (n = 298), Argentina (n = 439), and the U.S. (n = 775) to determine if there are differences in PBS use across countries and/or across sex. Further, we examined whether the association between PBS use and negative consequences differ across country and sex. RESULTS: We found that U.S. students reported the most frequent use of Stopping/Limiting Drinking PBS (M = 3.32, SD = 1.23) compared to Argentine (M = 2.89, SD = 0.97) and Spanish (M = 2.83, SD = 0.94) students. Argentine students reported the least frequent use of Serious Harm Reduction PBS (M = 4.57, SD = 0.99) compared to U.S. (M = 5.09, SD = 0.98) and Spanish (M = 5.03, SD = 0.78) students. Elastic net regression analyses stratified by country indicated most individual PBS predicted decreased negative alcohol-related consequences, although two items consistently predicted increased consequences and we observed some variability in the most predictive specific strategies in each country. Across each subscale and for 32 of 40 individual items, females reported more frequent use of PBS than males (ps<.05). CONCLUSIONS: From the perspective of developing and adapting interventions, we recommend the cultural context in which PBS are used is taken into account. Although future work is needed to delineate cultural factors underlying the country-level differences we found, these findings have implications for the most promising PBS to target for college students in each country.

An International Comparison of a Web-Based Personalized Feedback Intervention for Alcohol use During the Transition out of High School in the United States and Sweden.

Young adult drinkers engage in a range of drinking patterns from abstaining to heavy drinking in both the United States and Sweden. Heavy drinking during young adulthood in both countries is associated with a variety of negative consequences. Personalized feedback interventions have been identified as effective prevention strategies to prevent or reduce heavy drinking in the United States. This study examined transitions in drinking profiles and compared the efficacy of a personalized feedback intervention for 3965 young adults in the United States (1,735) and Sweden (2230) during their transition out of high school. Using goodness-of-fit criteria, results indicated that three drinking profiles exist among young adults transitioning out of high school: very low drinkers/abstainers, moderate to heavy drinkers, and very heavy drinkers. Latent Markov models revealed a moderating effect of country on personalized feedback intervention such that intervention condition participants in the United States were more likely to belong to the light drinker/abstainer or moderate to heavy profile relative to the very heavy drinking profile at 6-month follow-up. There was no significant effect of personalized feedback intervention in Sweden. Future research could investigate the impact of when personalized feedback interventions are administered and could examine if personalized feedback interventions should be more intentionally culturally adapted in order to be more effective.

Can Alcohol Use Disorder Recovery Include Some Heavy Drinking? A Replication and Extension up to 9 Years Following Treatment.

BACKGROUND: Recent research indicates some individuals who engage in heavy drinking following treatment for alcohol use disorder fare as well as those who abstain with respect to psychosocial functioning, employment, life satisfaction, and mental health. The current study evaluated whether these findings replicated in an independent sample and examined associations between recovery profiles and functioning up to 6 years later. METHODS: Data were from the 3-year and 7- to 9-year follow-ups of subsamples initially recruited for the COMBINE study (3-year follow-up: n = 694; 30.1% female, 21.0% non-White; 7- to 9-year follow-up: n = 127; 38.9% female, 27.8% non-White). Recovery at 3 years was defined by latent profile analyses including measures of health functioning, quality of life, employment, alcohol consumption, and cannabis and other drug use. Functioning at the 7- to 9-year follow-up was assessed using single items of self-rated general health, hospitalizations, and alcohol consumption. RESULTS: We identified 4 profiles at the 3-year follow-up: (i) low-functioning frequent heavy drinkers (13.9%), (ii) low-functioning infrequent heavy drinkers (15.8%), (iii) high-functioning heavy drinkers (19.4%), and (iv) high-functioning infrequent drinkers (50.9%). At the 7- to 9-year follow-up, the 2 high-functioning profiles had the best self-rated health, and the high-functioning heavy drinking profile had significantly fewer hospitalizations than the low-functioning frequent heavy drinking profile. CONCLUSIONS: Previous findings showing heterogeneity in recovery outcomes were replicated. Most treatment recipients functioned well for years after treatment, and a subset who achieved stable recovery engaged in heavy drinking and reported good health outcomes up to 9 years after treatment. Results question the long-standing emphasis on drinking practices as a primary outcome, as well as abstinence as a recovery criterion in epidemiologic and treatment outcome research and among stakeholder groups and funding/regulatory agencies. Findings support an expanded recovery research agenda that considers drinking patterns, health, life satisfaction, and functioning.

Examining early adherence measures as predictors of subsequent adherence in an intensive longitudinal study of individuals in mutual help groups: One day at a time.

BACKGROUND: Individuals with a substance use disorder complete ecological momentary assessments (EMA) at lower rates than community samples. Previous research in tobacco users indicates that early log-in counts to smoking cessation websites predicted subsequent smoking cessation website usage. We extended this line of research to examine individuals who are seeking to change their drinking behaviors through mutual support groups. We examined whether adherence in the first 7 days (1487 observations) of an intensive longitudinal study design could predict subsequent EMA protocol adherence (50% and 80% adherence separately) at 30 (5700 observations) and 60 days (10,750 observations). METHODS: Participants (n = 132) attending mutual-help groups for alcohol use completed two assessments per day for 6 months. We trained four classification models (logistic regression, recursive partitioning, support vector machines, and neural networks) using a training dataset (80% of the data) with each of the first 7 days' cumulative EMA assessment completion. We then tested these models to predict the remaining 20% of the data and evaluated model classification accuracy. We also used univariate receiver operating characteristic curves to examine the minimal combination of days and completion percentage to best predict subsequent adherence. RESULTS: Different modeling techniques can be used with early assessment completion as predictors to accurately classify individuals that will meet minimal and optimal adherence rates later in the study. Models ranged in their performance from poor to outstanding classification, with no single model clearly outperforming other models. CONCLUSIONS: Traditional and machine learning approaches can be used concurrently to examine several methods of predicting EMA adherence based on early assessment completion. Future studies could investigate the use of several algorithms in real time to help improve participant adherence rates by monitoring early adherence and using early assessment completion as features in predictive modeling.

Using recursive partitioning to predict presence and severity of suicidal ideation amongst college students.

OBJECTIVE: Predicting the presence and severity of suicidal ideation in college students is important, as deaths by suicide amongst young adults have increased in the past 20 years. PARTICIPANTS: We recruited college students (N = 5494) from ten universities across eight states. METHOD: Participants answered three questionnaires related to lifetime and past month suicidal ideation, and an indicator of suicidal ideation in a DSM-5 symptom measure. We used recursive partitioning to predict the presence, absence, and severity, of suicidal ideation. RESULTS: Recursive partitioning models varied in their accuracy and performance. The best-performing model consisted of predictors and outcomes measured by the DSM-5 Level 1 Cross-Cutting Symptom Measure. Sexual orientation was also an important predictor in most models. CONCLUSIONS: A single measure of DSM-5 symptom severity may help universities understand suicide severity to promote targeted interventions. Though further work is needed, as similar scaling amongst predictors could have influenced the model.

Regression tree applications to studying alcohol-related problems among college students.

Machine learning algorithms hold promise for developing precision medicine approaches to addiction treatment yet have been used sparingly to identify predictors of alcohol-related problems. Recursive partitioning, a machine learning algorithm, can identify salient predictors and clinical cut points that can guide treatment. This study aimed to identify predictors and cut points of alcohol-related problems and to examine result stability in two separate, large data sets of college student drinkers (n = 5,090 and 2,808). Four regression trees were grown using the "rpart" package in R. Seventy-one predictors were classified as demographics (e.g., age), alcohol use indicators (e.g., typical quantity/frequency), or psychosocial indicators (e.g., anxiety). Predictors and cut points were extracted and used to manually recreate the tree in the other data set to test result stability. Outcome variables were alcohol-related problems as measured by the Alcohol Use Disorder Identification Test and Brief Young Adult Alcohol Consequences Questionnaire. Coping with depression, conformity motives, binge drinking frequency, typical/heaviest quantity, drunk frequency, serious harm reduction protective behavioral strategies, substance use, and psychosis symptoms best predicted alcohol-related problems across the four trees; coping with depression (cut point range: 1.83-2.17) and binge drinking frequency (cut point range: 1.5-2.5) were the most common splitting variables. Model fit indices suggest relatively stable results accounting for 17%-30% of the variance. Results suggest the nine salient predictors, particularly coping with depression motives scores around 2 and binge drinking frequency around two to three times per month, are important targets to consider when treating alcohol-related problems for college students. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Online support for all: Examining participant characteristics, engagement, and perceived benefits of an online harm reduction, abstinence, and moderation focused support group for alcohol and other drugs.

OBJECTIVE: Online support groups for individuals with substance use disorders are regularly used, yet little is known about participant engagement patterns. Preliminary research has examined utilization and perceived benefits of an abstinence-focused online social network. This study sought to extend these findings by examining participant characteristics, engagement, and perceived benefits of online support groups for individuals with broader personal substance use goals (Harm reduction, Abstinence, and Moderation Support [HAMS]). METHOD: HAMS members were invited to complete an online survey about their HAMS engagement (N = 343). The average age of participants was 41.55 (SD = 12.61) and most identified as White (93.9%), female (78.8%), and cisgender women (70.1%). Participants completed measures of HAMS participation, substance use goal, quantity/frequency of substance use, mental health history, negative substance use-related consequences, and quality of life. RESULTS: Most participants (67.1%) reported a substance use moderation goal and alcohol was the most commonly used substance (91.6%). Participants most frequently reported visiting HAMS on Facebook (89.5%), visiting HAMS daily (39.2%), and visits typically lasted up to 30 min (86.1%). Most participants somewhat or strongly agreed HAMS helped them feel better about changing their use of drugs/alcohol (87.1%; M = 4.41/5; SD = 0.81), increased their motivation for changing their use of drugs/alcohol (89.2%; M = 4.44/5; SD = 0.77), and increased their self-efficacy in reaching/maintaining the substance use goals (85.1%; M = 4.29/5; SD = 1.05). CONCLUSIONS: Online support for broader personal substance use goals may be beneficial for individuals who seek to stop/limit their substance use. Online support is well suited for obtaining quick, inexpensive access to support. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

A comprehensive examination of motivational profiles for alcohol-related behaviors among college students.

Recent research demonstrates unique relations of types of motivation for drinking responsibly based on self-determination theory and drinking motives with alcohol-related outcomes among college students. In the present study, we sought to extend prior research by using a person-centered approach to simultaneously consider types of motivation within and across these motivational constructs as well as their synergistic relations with alcohol-related outcomes. We used cross-sectional survey data from 2,808 college students at 10 universities in eight states across the United States who reported past-month alcohol use (Mage = 20.59, SD = 4.18; 72.9% female; 58.2% non-Hispanic White). A series of latent profile analyses were conducted using types of motivation for drinking responsibly and drinking motives as indicators. A five-profile solution was selected as optimal. Mean comparisons indicated that profiles defined by high endorsement of higher quality motivations for drinking responsibly (i.e., more self-determined) and low endorsement of drinking motives in combination were related to the most frequent protective behavioral strategies use, least alcohol use, and fewest negative alcohol-related consequences. Additionally, these profiles were higher on dispositional autonomy and psychological need satisfaction and lower on psychological need frustration. These findings provide initial insight into simultaneously considering motivational profiles for the interrelated behaviors of drinking responsibly and drinking that can be leveraged in college drinking interventions. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The Associations of Basic Psychological Need Satisfaction and Need Frustration with Cannabis-Related Outcomes in a Multi-Site Sample of College Students.

Psychological need satisfaction and need frustration, proposed by self-determination theory, may serve as conditions that foster health-promoting and health-impairing behaviors related to cannabis use. In the present study, we examined the measurement model of psychological need satisfaction and need frustration and their associations with cannabis protective behavioral strategies use, negative cannabis-related consequences, and cannabis use severity. Data were from 1394 college students from 10 universities across the U.S. who reported past-month cannabis use. A higher-order factor model representing general psychological need satisfaction and need frustration provided a good fit to the data. Regressing the three observed cannabis outcome variables onto these higher-order latent factors, we found that greater need satisfaction was associated with more frequent cannabis protective behavioral strategies use and fewer negative cannabis-related consequences. Greater need frustration was associated with greater negative cannabis-related consequences and cannabis use severity. Further, an interaction effect between need satisfaction and need frustration emerged for each cannabis outcome such that greater need satisfaction attenuated the associations between need frustration and cannabis outcomes and greater need frustration strengthened the associations between need satisfaction and cannabis outcomes. Implications for the roles of need satisfaction and need frustration in cannabis use and future intervention development are discussed.

A Cross-Cultural Comparison of Negative Alcohol-Related Consequences in the United States and Sweden: Measurement Invariance of the Rutgers Alcohol Problem Index.

Commensurate measures of alcohol-related consequences across countries and cultures are critical for addressing the global burden of hazardous alcohol use. The Rutgers Alcohol Problem Index (RAPI), developed and validated in the United States, is a popular measure of alcohol problems. This study examined measurement invariance of the RAPI across samples of U.S. and Swedish high school seniors. Latent mean differences in alcohol problems across countries and differences in associations between alcohol problems with alcohol use and protective behavioral strategies (PBS) were also examined. The RAPI was scalar invariant. Swedish students reported fewer problems than U.S. students (latent mean difference = -0.19, p = .047). In both samples, the RAPI was positively correlated with alcohol use frequency and quantity (ps < .001), and negatively correlated with PBS use (ps < .05). Overall, the RAPI demonstrated measurement invariance, and we found evidence for its validity across samples of U.S. and Swedish high school seniors.

Relative and Interactive Associations of Psychosocial Intervention and Alcoholics Anonymous Attendance With Alcohol Use Disorder Outcomes.

OBJECTIVE: Psychosocial intervention and Alcoholics Anonymous (AA)/mutual help organization attendance are both associated with alcohol use disorder (AUD) outcomes. However, no research has explored the relative or interactive associations of psychosocial intervention and AA attendance with AUD outcomes. METHOD: This was a secondary analysis of data from the Project MATCH (Matching Alcoholism Treatments to Client Heterogeneity) outpatient arm participants (N = 952), who were randomly assigned to complete 12-session cognitive-behavioral therapy (CBT, n = 301), 12-session 12-step facilitation (TSF, n = 335), or 4-session motivational enhancement therapy (MET, n = 316). Regression analyses tested the association of psychosocial intervention attendance only, AA attendance only (measured as past-90-day attendance immediately after psychosocial intervention, as well as 1 and 3 years after intervention), and their interaction with the percentage of drinking days and percentage of heavy drinking days after intervention, 1 year after intervention, and 3 years after intervention. RESULTS: When accounting for AA attendance and other variables, attending more psychosocial intervention sessions was consistently associated with fewer drinking days and heavy drinking days after intervention. AA attendance was consistently associated with a lower percentage of drinking days at 1 and 3 years after intervention, when accounting for psychosocial intervention attendance and other variables. Analyses failed to identify an interaction between psychosocial intervention attendance and AA attendance with AUD outcomes. CONCLUSIONS: Psychosocial intervention and AA attendance are robustly associated with better AUD outcomes. Replication studies comprising samples of individuals who attend AA more than once per week are needed to further test the interactive association of psychosocial intervention attendance and AA attendance with AUD outcomes.

An Evaluation of Cognitive Behavioral Therapy for Substance Use Disorder: A Systematic Review and Application of the Society of Clinical Psychology Criteria for Empirically Supported Treatments.

Cognitive behavioral therapy (CBT) is a commonly used treatment for substance use disorders (SUDs) but has not been evaluated using the American Psychological Association's "Tolin Criteria" for determining the empirical basis of psychological treatments. The current systematic review evaluated five meta-analyses of CBT for SUD. One meta-analysis had sufficient quality to be considered in the evaluation of effect sizes. CBT produced small to moderate effects on substance use when compared to inactive treatment and was most effective at early follow-up (1-6 months post-treatment) compared to late follow-up (8+ months post-treatment). Sensitivity analyses including all five meta-analyses found similar results. A "strong recommendation" was provided for CBT as an empirically supported treatment for SUD, based on effects on substance use, quality of evidence, and consideration of contextual factors (e.g., efficacy in diverse populations).

Examining replicability in addictions research: How to assess and ways forward.

OBJECTIVE: The high rate of statistically significant findings in the sciences that do not replicate in a new sample has been described as a "replication crisis." Few replication attempts have been conducted in studies of alcohol use disorder (AUD), and the best method for determining whether a finding replicates has not been explored. The goal of the current study was to conduct direct replications within a multisite AUD-randomized controlled trial and to test a range of replication metrics. METHOD: We used data from a large AUD clinical trial (Project Matching Alcoholism Treatments and Client Heterogeneity [Project MATCH], n = 1,726) to simulate direct replication attempts. We examined associations between drinking intensity and negative alcohol-related consequences (Model 1), sex differences in drinking intensity (Model 2), and reductions in drinking following treatment (Model 3). We treated each of the 11 data collection sites as unique studies such that each subsample was treated as an "original" study, and the remaining 10 subsamples were viewed as "replication" studies. Replicability metrics included the consistency of statistical significance, overlapping confidence intervals, and consistency of the direction of the effect. We also tested effect replication and heterogeneity using meta-analysis. RESULTS: We observed between 0% and 100% replicability across the replicability metrics depending on which subsample was treated as the "original" study. Meta-analyses indicated results were more similar across subsamples with no significant heterogeneity for Models 1 and 2. CONCLUSIONS: We recommend researchers focus on effect sizes and use meta-analysis to evaluate the level of replicability. We also encourage direct replication attempts and sharing of data and code to facilitate direct replication. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Using machine learning to examine predictors of treatment goal change among individuals seeking treatment for alcohol use disorder.

INTRODUCTION: The goals of individuals seeking treatment for alcohol use disorder (AUD) are typically quantified as abstinent or nonabstinent (e.g., moderate drinking) goals. However, treatment goals can vary over time and be influenced by life circumstances. This study aims to identify predictors of treatment goal change and direction of change from baseline to six-month follow-up among individuals seeking treatment for AUD. METHODS: This study is a secondary analysis of data from the Relapse Replication and Extension Project. The study included participants who completed assessments at baseline and six-month follow-up in the analysis (n = 441). We used decision trees to examine 111 potential predictors of treatment goal change. The study cross-validated results using random forests. The team examined changes in goal between baseline and follow-up (Decision Tree 1) and quantified them as being toward or away from a complete abstinence goal (Decision Tree 2). RESULTS: Nearly 50 % of the sample changed their treatment goal from baseline to 6 months, and 68.7 % changed from a nonabstinence goal toward a complete abstinence goal. The study identified seven unique predictors of goal change. The most common predictors of changing a treatment goal were number of recent treatment sessions prior to enrolling in the study, other substance use, negative affect, anxiety, social support, and baseline drinks per drinking day. Participants with a greater number of recent treatment sessions and who sought social support were most likely to change their goal. Additionally, individuals with more substance use tended to change away from complete abstinence goals. Cross-validation supported baseline drinks per drinking day, social support, baseline maximum blood alcohol concentration (BAC), lifetime tobacco use, baseline average BAC, lifetime cocaine use, Inventory of Drinking Situations total score, and Situational Confidence Questionnaire average score as important predictors. CONCLUSIONS: This study identified seven unique predictors of treatment goal change while in AUD treatment. Prior treatment, drinking to cope, and social support were most associated with goal changes. This information can inform providers who seek to understand factors associated with treatment goal selection and changes in goals during treatment.

Using Decision Trees to Identify Salient Predictors of Cannabis-Related Outcomes.

Cannabis use continues to escalate among emerging adults and college attendance may be a risk factor for use. Severe cases of cannabis use can escalate to a cannabis use disorder, which is associated with worse psychosocial functioning. Predictors of cannabis use consequences and cannabis use disorder symptom severity have been identified; however, they typically employ a narrow set of predictors and rely on linear models. Machine learning is well suited for exploratory data analyses of high-dimensional data. This study applied decision tree learning to identify predictors of cannabis user status, negative cannabis-related consequences, and cannabis use disorder symptoms. Undergraduate college students (N = 7000) were recruited from nine universities in nine states across the U.S. Among the 7 trees, 24 splits created by 15 distinct predictors were identified. Consistent with prior research, one's beliefs about cannabis were strong predictors of user status. Negative reinforcement cannabis use motives were the most consistent predictors of cannabis use disorder symptoms, and past month cannabis use was the most consistent predictor of probable cannabis use disorder. Typical frequency of cannabis use was the only predictor of negative cannabis-related consequences. Our results demonstrate that decision trees are a useful methodological tool for identifying targets for future clinical research.

A Test of Interaction Effects Between Cannabis Protective Behavioral Strategies and Antecedents of Cannabis-Related Consequences.

The purpose of the present study was to examine tests of interaction effects between cannabis protective behavioral strategies use and a range of risk/protective factors for negative cannabis-related consequences. We recruited 2,226 college students (Mage = 20.28, SD = 3.37; 68.8% female; 75.4% White) from 10 universities throughout the U.S. who reported using cannabis in the past month to complete an online survey. Measures assessed cannabis use, negative cannabis-related consequences, cannabis protective behavioral strategies use, and 35 risk/protective factors (including socio-demographic characteristics). Cannabis protective behavioral strategies use was negatively correlated with negative cannabis-related consequences while including the risk/protective factors as covariates. Most importantly, 33% and 54% of the interaction effects tested were statistically significant, depending on the covariates entered into the model. The interaction effects had a consistent pattern such that the positive association between greater risk and negative cannabis-related consequences was weaker as cannabis protective behavioral strategies use increased. Findings suggest that the nature of these interaction effects is not specific for any given risk/protective factor. We draw parallels to research on alcohol protective behavioral strategies and offer suggestions for moving the cannabis protective behavioral strategies field forward.

Measurement Invariance of the Readiness to Change Questionnaire Among Injured Patients Who Received a Brief Intervention for Alcohol Use.

We tested measurement invariance of the Readiness to Change Questionnaire (RCQ) to evaluate its utility in assessing the stages of change in the context of brief intervention for alcohol use in opportunistic settings. Participants (N = 596) were patients admitted from three Level I trauma centers who were randomly assigned to one of three brief alcohol interventions. The RCQ was administered at baseline and 3-month follow-up. The RCQ was scalar invariant across biological sex and partially scalar invariant across race/ethnicity and alcohol use severity. Hispanic participants were higher on contemplation and action and Black participants were higher on action than White participants. Hazardous drinkers were lower in precontemplation and higher in contemplation and action than nonhazardous drinkers. The RCQ was scalar invariant across intervention conditions and time. Brief motivational intervention with a booster increased action from baseline to 3 month. These findings provide further support for the use of the RCQ.

Examining Associations Between Negative Affect and Substance Use in Treatment-Seeking Samples: A Review of Studies Using Intensive Longitudinal Methods.

Purpose of Review: Understanding dynamic relationships between negative affect and substance use disorder (SUD) outcomes, including craving, may help inform adaptive and personalized interventions. Recent studies using intensive longitudinal methods were reviewed to examine relationships between negative affect and the outcomes of either craving or substance use during and following SUD treatment. Recent Findings: Results on associations between negative affect and craving/substance use were mixed and difficult to synthesize, given methodological differences across studies. The strength and direction of these relationships varied across outcomes, subgroups, contexts, and time course. Summary: The current literature is mixed concerning negative affect and craving/substance use associations during and following SUD treatment. Researchers should increasingly recruit diverse individuals, for example, samples of varying racial and ethnic backgrounds and those reporting co-occurring disorders and polysubstance use. Experimental, qualitative, and person-specific methods will improve our understanding of relationships between negative affect and substance-related outcomes during SUD treatment.