Early substance use and the school environment: A multilevel latent class analysis.

Background: Early substance use is associated with increased risks for mental health and substance use problems which are compounded when using several substances (i.e., polysubstance use). A notable increase in substance use occurs when adolescents transition from elementary to secondary schooling. Objective: This study seeks to characterize student and school classes of substance use. Methods: A cross-sectional multilevel latent class analysis and regression was conducted on a representative sample of 19,130 grade 6-8 students from 180 elementary schools in Ontario, Canada to: 1) identify distinct classes of student substance use; 2) identify classes of schools based on student classes; and 3) explore correlates of these classes, including mental health, school climate, belonging, safety, and extracurricular participation. Results: Two student and two school classes were identified. 4.1% of students were assigned to the high probability of early polysubstance use class while the remaining 95.9% were in the low probability class. Students experiencing depressive and externalizing symptoms had higher odds of being in the early polysubstance use class (Odds Ratio [OR]s=1.1-1.25). At the school level, 19% of schools had higher proportions of students endorsing polysubstance use. Perceptions of positive school climate, belonging, and safety increased the odds of students being in the low probability of early polysubstance use student-level class (ORs=0.85-0.93) and lower probability of early polysubstance use school-level class. Associations related to extracurricular participation were largely not statistically significant. Conclusions: Student and school substance use classes may serve as targets for tailored prevention and early interventions. Results support examining school-based interventions targeting school climate, belonging, and safety.

Contexte: L'utilisation précoce de substances est associée à des risques accrus pour la santé mentale et les problèmes liés à l'utilisation de substances qui sont aggravés lorsque plusieurs substances sont utilisées (c.-à-d. utilisation de polysubstances). Une augmentation notable de l'utilisation de substances se produit quand les adolescents passent du cours primaire au cours secondaire. Objectif: La présente étude cherche à caractériser l'utilisation de substances chez les classes d'élèves et d'écoles. Méthodes: Une analyse transversale et une régression des classes latentes multi-niveaux ont été menées sur un échantillon représentatif de 19 130 élèves de la 6e à la 8e année de 180 écoles primaires de l'Ontario, Canada, pour: 1) identifier les classes d'élèves distinctes utilisant des substances; 2) identifier les classes d'écoles d'après les classes d'élèves; et 3) explorer les corrélats de ces classes, notamment la santé mentale, le climat scolaire, l'appartenance, la sécurité, et la participation extrascolaire. Résultats: Deux classes d'élèves et deux classes d'écoles ont été identifiées. Des élèves au nombre de 4,1 % ont été assignés à la classe probabilité élevée d'une utilisation précoce de polysubstances alors que les 95,9 % restants étaient dans la classe probabilité faible. Les élèves souffrant de dépression et de symptômes externalisants avaient des probabilités plus élevées d'être dans la classe utilisation précoce de polysubstances (Rapport de cotes [RC] = 1,1­1,25). Au niveau des écoles, 19 % d'entre elles avaient des proportions plus élevées d'élèves approuvant l'utilisation de polysubstances. Les perceptions positives du climat scolaire, de l'appartenance et de la sécurité accroissaient les probabilités d'élèves étant dans la classe d'élèves faible probabilité d'utilisation précoce de polysubstances (RC = 0,85­0,93) et une probabilité plus faible de la classe d'écoles ayant une utilisation précoce de polysubstances. Les associations liées à une participation extrascolaire étaient largement non significatives statistiquement. Conclusions: Les classes d'utilisation de substances d'élèves et d'écoles peuvent servir de cibles pour une prévention adaptée et des interventions précoces. Les résultats soutiennent l'examen des interventions en milieu scolaire qui ciblent le climat scolaire, l'appartenance et la sécurité.

Neural correlates of increased alcohol demand following alcohol cue exposure in adult heavy drinkers.

Alcohol use disorder is associated with overvaluation of alcohol relative to other rewards, in part due to dynamic increases in value in response to alcohol-related cues. In a neuroeconomic framework, alcohol cues increase behavioral economic demand for alcohol, but the neural correlates these cue effects are unknown. This functional magnetic resonance imaging study combined a neuroeconomic alcohol purchase task with an alcohol cue exposure in 72 heavy drinkers with established sensitivity to alcohol cues (51 % female; mean age=33.74). Participants reported how many drinks they would consume from $0-$80/drink following exposure to neutral and alcohol images in a fixed order. Participants purchased significantly more drinks in the alcohol compared to the neutral condition, which was also evident for demand indices (i.e., intensity, breakpoint, Omax, elasticity; ps<0.001; ds=0.46-0.92). Alcohol purchase decisions were associated with activation in rostral middle and medial frontal gyri, anterior insula, posterior parietal cortex, and dorsal striatum, among other regions. Activation was lower across regions in the alcohol relative to neutral cue condition, potentially due to greater automaticity of choices in the presence of alcohol cues or attenuation of responses due to fixed cue order. These results contribute to growing literature using neuroeconomics to understand alcohol misuse and provide a foundation for future research investigating decision-making effects of environmental alcohol triggers.

Longitudinal examination of alcohol demand and alcohol-related reinforcement as predictors of heavy drinking and adverse alcohol consequences in emerging adults.

BACKGROUND AND AIMS: Behavioral economic theory predicts that high alcohol demand and high proportionate alcohol-related reinforcement are important determinants of risky alcohol use in emerging adults, but the majority of research to date has been cross-sectional in nature. The present study investigated prospective and dynamic relationships between alcohol demand and proportionate alcohol-related reinforcement in relation to heavy drinking days and alcohol problems. DESIGN: Longitudinal cohort with assessments every 4 months for 20 months. SETTING: Ontario, Canada. PARTICIPANTS: Emerging adults reporting regular heavy episodic drinking (n = 636, Mage = 21.44; 55.8% female). MEASUREMENTS: Heavy drinking days (HDD; Daily Drinking Questionnaire), alcohol problems (Brief Young Adult Alcohol Consequences Questionnaire), alcohol demand (Alcohol Purchase Task) and proportionate alcohol-related reinforcement (Activity Level Questionnaire). FINDINGS: Linear mixed effects models revealed that behavioral economic indicators and alcohol-related outcomes significantly decreased over the study, consistent with 'aging out' of risky alcohol use. Random intercept cross-lagged panel models revealed significant between-person relationships, such that higher alcohol demand and alcohol-related reinforcement were positively associated with HDD and alcohol problems (random intercepts = 0.187-0.534, Ps < 0.01). Moreover, alcohol demand indicators (particularly the rate of change in elasticity of the demand curve, as measured by α, and the maximum expenditure, Omax) and proportionate alcohol-related reinforcement significantly forecasted changes in HDD at all time points (|ßs| = 0.063-0.103, Ps < 0.05) in cross-lagged relationships, with bidirectional associations noted for the rate of change in elasticity (ßs = -0.085 to -0.104, Ps < 0.01). Proportionate alcohol-related reinforcement also significantly forecasted changes in alcohol problems at all time points (ßs = 0.072-0.112, Ps < 0.01). CONCLUSIONS: Multiple behavioral economic indicators (demand elasticity, maximum expenditure and reinforcement ratio) forecast changes in heavy episodic drinking and alcohol problems over the course of emerging adulthood. These results further implicate alcohol demand and proportionate alcohol-related reinforcement as etiologically and developmentally important mechanisms in alcohol use trajectories.

Perceptions and Attitudes Related to Driving after Cannabis Use in Canadian and US Adults.

BACKGROUND: This study examined the risk perceptions related to driving after cannabis use (DACU) among Canadian and US adults who used cannabis in the past six months. METHODS: Perceptions of danger, normative beliefs, perceived likelihood of negative consequences, and other driving-related variables were collected via online surveys in Canadian (n = 158; 50.0% female, 84.8% White, mean age = 32.73 years [SD = 10.61]) and US participants (n = 678; 50.9% female, 73.6% White, mean age = 33.85 years [SD = 10.12]). Driving cognitions and DACU quantity/frequency were compared between samples using univariate analyses of variance, and Spearman's (ρ) correlations were performed to examine associations between driving cognitions and DACU quantity/frequency. RESULTS: The two samples did not significantly differ in self-reported level of cannabis use, lifetime quantity of DACU, or the number of times they drove within two hours of cannabis use in the past three months (Ps > .12). Compared to US participants, Canadians perceived driving within two hours of cannabis use as more dangerous (P < 0.001, ηp2 = 0.013) and reported more of their friends would disapprove of DACU (P = 0.03, ηp2 = 0.006). There were no differences in the number of friends who would refuse to ride with a driver who had used cannabis (P = 0.15) or the perceived likelihood of negative consequences (Ps > 0.07). More favorable perceptions were significantly correlated with greater lifetime DACU and driving within two hours of use (ρ = 0.25-0.53, Ps < 0.01). CONCLUSIONS: These findings reveal differences in distal risk factors for DACU between Canada and the US and may inform prevention efforts focusing on perceptions of risk and social acceptance of DACU.

Examining the effect of cannabis cues on cannabis demand in sleep, driving, and typical drug-use contexts.

PURPOSE: Given the expanding legal cannabis market in the U.S., it is vital to understand how context impacts cannabis use. Therefore, we explored the effect of cannabis cues and cannabis-use context on cannabis demand in 79 adults who reported smoking cannabis at least weekly. METHODS: Participants completed a single laboratory session consisting of four hypothetical marijuana purchase tasks (MPTs) involving either a typical use situation or a driving or sleep context. The MPTs were alternated with exposure to cannabis or neutral picture cues based on block randomization by gender. RESULTS: Cannabis cues increased self-reported craving for cannabis (p =.044) but did not significantly alter demand (ps =0.093-0.845). In the driving context, participants demonstrated a significant reduction in cannabis demand, indicated by lower intensity (p <0.001), Omax (p <0.001), and Pmax (p <0.001), breakpoint (p =.003), and higher α (p <0.001). The sleep context was associated with significantly greater α (p <0.006) but nonsignificant effects for other indices (ps =0.123-0.707). Finally, cannabis cues increased Omax (p =.013) and breakpoint (p =.035) in the sleep context but not in the typical-use context. CONCLUSIONS: These findings suggest that cannabis-use behavior is sensitive to contingencies surrounding driving after cannabis use and may also be sensitive to sleep contexts in the presence of cannabis cues. Since this is the first study to examine driving and sleep contexts, we caution against drawing broad conclusions until future research is conducted to replicate these findings.

Adaptation of commodity purchase tasks to identify substitutable substance-free alternative activities for alcohol use.

Behavioral economic frameworks emphasize the importance of contextual influences on alcohol use; therefore, identifying relative demand for alcohol versus other commodities is of importance. Cross-commodity purchase tasks allow participants to make choices across multiple concurrently available commodities and can thereby pinpoint interactions among those commodities. These tasks may help identify relevant substance-free alternative activities to target in alcohol treatment by determining whether the activity functions as a substitute for alcohol use. While substance-free activity promotion is a promising behavioral component of alcohol interventions, no research to-date has used behavioral economic methods to assess the substitutability of alternative activities for alcohol use. The present studies were preliminary assessments of novel single- and cross-commodity purchase tasks of various alternative activities (e.g., exercise, hobbies, civic involvement). Participants in Study 1 recruited from Amazon's Mechanical Turk (n = 110) were administered a series of novel activity purchase tasks and an alcohol purchase task. Results showed excellent fit of the exponential demand equation to activity purchase task data and provided initial support for adaptation of purchase task methodology to alternative activity demand. In Study 2, participants recruited from Amazon's Mechanical Turk (n = 108) were administered both single-commodity and cross-commodity purchase tasks of alcohol and exercise. While most participants demonstrate independent consumption of alcohol and exercise, a subset of participants substituted exercise for alcohol as indicated by quantitative cross-price elasticity indices. These response patterns highlight the importance of individual differences and hold implications for recovery efforts that promote alternative activity engagement and public policy. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Resting state functional connectivity as a predictor of brief intervention response in adults with alcohol use disorder: A preliminary study.

BACKGROUND: Brief interventions for alcohol use disorder (AUD) are generally efficacious, albeit with variability in response. Resting state functional connectivity (rsFC) may characterize neurobiological indicators that predict the response to brief interventions and is the focus of the current investigation. MATERIALS AND METHODS: Forty-six individuals with AUD (65.2% female) completed a resting state functional magnetic resonance imaging (fMRI) scan immediately followed by a brief intervention aimed at reducing alcohol consumption. Positive clinical response was defined as a reduction in alcohol consumption by at least one World Health Organization (WHO) risk drinking level at 3-month follow-up. rsFC was analyzed using seed-to-voxel analysis with seed regions from four networks: salience network, reward network, frontoparietal network, and default mode network. RESULTS: At baseline, responders had greater rsFC between the following seed regions in relation to voxel-based clusters than non-responders: (i) anterior cingulate cortex (ACC) in relation to left postcentral gyrus and right supramarginal gyrus (salience network); (ii) right posterior parietal cortex in relation to right ventral ACC (salience network); (iii) right interior frontal gyrus (IFG) pars opercularis in relation to right cerebellum and right occipital fusiform gyrus (frontoparietal); and (iv) right primary motor cortex in relation to left thalamus (default mode). Lower rsFC in responders vs. nonresponders was seen between the (i) right rostral prefrontal cortex in relation to left IFG pars triangularis (frontoparietal); (ii) right IFG pars triangularis in relation to right cerebellum (frontoparietal); (iii) right IFG pars triangularis in relation to right frontal eye fields and right angular gyrus (frontoparietal); and (iv) right nucleus accumbens in relation to right orbital frontal cortex and right insula (reward). CONCLUSIONS: Resting state functional connectivity in the frontoparietal, salience, and reward networks predicts the response to a brief intervention in individuals with AUD and could reflect greater receptivity or motivation for behavior change.

Association of electronic nicotine delivery system (ENDS) and cigarette solo and dual use with alcohol-related consequences among US adults.

INTRODUCTION: Research reports a robust association between combustible cigarette use and alcohol use frequency and severity. Extension to the emerging landscape of electronic nicotine delivery system (ENDS) use is needed to inform prevention and treatment strategies. METHOD: We evaluated data from the 2020 National Survey on Drug Use and Health (NSDUH). Respondents included adults reporting cigarettes or ENDS solo or dual use. Multivariable logistic regression models evaluated associations with alcohol use disorder (AUD) and alcohol-related risky behavior (i.e., heavy drinking, binge alcohol use, and driving after drinking) compared to never use controls and respondents with a history, but not current, use of cigarettes or ENDS. RESULTS: Multivariable models showed greater odds of AUD for respondents with dual ENDS and cigarette use (AOR = 10.2), ENDS use (AOR = 6.27), cigarette use (AOR = 4.45), and a history, but not ongoing, use (AOR = 2.60) relative to respondents with no use history. Similarly, respondents with dual use (AOR = 3.94), ENDS use (AOR = 2.41), and cigarette use (AOR = 1.71) had greater odds of AUD relative to those with a history of, but not ongoing, use. The association between dual use and AUD was greater for adults ages 21-25 (AOR = 16.2) than for adults over 25 (AOR = 7.82). Cigarette and ENDS solo and dual-use were similarly associated with greater odds of alcohol-related risky behavior relative to control groups. CONCLUSION: These findings demonstrate that nicotine use and dual use may be associated with indicators of problematic drinking. These results offer insight into emerging licit polysubstance profiles and call for mechanistic research to inform prevention and intervention efforts.

Applying behavioral economics to understand changes in alcohol outcomes during the transition to adulthood: Longitudinal relations and differences by sex and race.

OBJECTIVE: Population drinking trends show clear developmental periodicity, with steep increases in harmful alcohol use from ages 18 to 22 followed by a gradual decline across the 20s, albeit with persistent problematic use in a subgroup of individuals. Cross-sectional studies implicate behavioral economic indicators of alcohol overvaluation (high alcohol demand) and lack of alternative substance-free reinforcers (high proportionate alcohol-related reinforcement) as potential predictors of change during this developmental window, but longitudinal evidence is sparse. METHOD: Using a sample of emerging adults (N = 497, Mage = 22.61 years, 62% female, 48.69% White, 40.44% Black), this study examined prospective, bidirectional relations between both past-week heavy drinking days (HDD) and alcohol problems and proportionate alcohol-related reinforcement (reinforcement ratio), alcohol demand intensity (consumption at zero price), alcohol demand Omax (maximum expenditure), and change in demand elasticity (rate of change in consumption across escalating price) over five assessments (every 4 months) using random intercept cross-lagged panel models. RESULTS: Alcohol problems and HDD decreased across assessments. Significant between-person effects indicated that each behavioral economic variable was associated with increased drinking risk. Change in reinforcement ratio was positively associated with decreases in alcohol problems. Multigroup invariance modeling revealed distinct risk pathways in that change in demand intensity and Omax predicted change in alcohol problems for male participants and change in intensity predicted change in alcohol problems for non-White participants. CONCLUSION: The study provides consistent support for proportionate alcohol-related reinforcement and mixed support for demand as within-person predictors of reductions in drinking. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Identifying Substitute Activities for Alcohol Consumption: A Preliminary Analysis.

Individuals with alcohol use disorder may excessively value alcohol reinforcement over other types of rewards and may seek out environments supportive of alcohol consumption despite negative consequences. Therefore, examining ways to increase engagement in substance-free activities may be useful in treating alcohol use disorder. Past research has focused on preference and frequency of engagement in alcohol-related versus alcohol-free activities. However, no study to-date has examine the incompatibility of such activities with alcohol consumption, an important step in preventing possible adverse consequences during treatment for alcohol use disorder and for ensuring that activities do not function in a complementary fashion with alcohol consumption. The present study was a preliminary analysis comparing a modified activity reinforcement survey with the inclusion of a suitability question to determine the incompatibility of common survey activities with alcohol consumption. Participants recruited from Amazon's Mechanical Turk (N=146) were administered an established activity reinforcement survey, questions regarding the incompatibility of the activities with alcohol consumption, and measures of alcohol-related problems. We found that activity surveys may identify activities that are enjoyable without alcohol, but that some of these activities were still compatible with alcohol. For many of the activities examined, participants who rated those activities as suitable with alcohol also reported higher alcohol severity, with the largest effect size differences for physical activity, school or work, and religious activities. The results of this study are an important preliminary analysis for determining how activities may function as substitutes, and may hold implications for harm reduction interventions and public policy.

Reliability and validity of behavioral-economic measures: A review and synthesis of discounting and demand.

This review sought to synthesize the literature on the reliability and validity of behavioral-economic measures of demand and discounting in human research, introduce behavioral-economic research methodologies for studying addictive behaviors, discuss gaps in the current literature, and review areas for future research. A total of 34 studies was included in this review. The discounting literature showed similar responding regardless of whether hypothetical or actual outcomes were used, though people tended to discount the outcome presented first more steeply, suggesting order effects. Although delay-discounting measures seem to show temporal stability, exceptions were found for probability- and experiential-discounting tasks. The demand literature also demonstrated similar responding regardless of outcome type; however, some demand indices showed exceptions. Randomized price sequences tended to show modest increases in Omax and α and modestly higher rates of inconsistent or nonsystematic responses compared with sequential price sequences. Demand indices generally showed temporal stability, although the stability was weaker the larger the time interval between test sessions. Future studies would benefit by examining addictive commodities beyond alcohol, nicotine, and money; examining temporal stability over longer time intervals; using larger delays in discounting tasks; and using larger sample sizes.

Incorporating socioeconomic status into studies on delay discounting and health via subjective financial status: An initial validation in tobacco use.

Delayed reward discounting (DRD) refers to the extent to which an individual devalues a reward based on its delay in time and has been linked to a wide variety of health behaviors. Because it is commonly measured using monetary rewards, income is typically used as a covariate to adjust for a person's socioeconomic status. Standard financial income measures have several limitations, such as not incorporating pertinent considerations like cost of living or number of financial dependents. This study examined a novel subjective financial status measure that uses a simple omnibus self-attribution as an alternative strategy. The novel measure was examined in the context of tobacco involvement and compared with a traditional objective measure in two samples, one comprising 1,430 community-recruited adults (Mage = 38.9, 58.3% female) and the other comprising 852 adult daily smokers (Mage = 31.1, 38% female). Associations between DRD, subjective and objective income measures, and cigarette dependence were explored using correlational analyses, equivalence testing, and hierarchical linear regressions. Correlations revealed subjective income was robustly positively correlated with traditional income (rs = .52-.56) and had stronger associations with DRD and cigarette dependence compared to traditional income. Equivalence testing and multiple hierarchical regressions found subjective income to be statistically equivalent or superior to the traditional income measure. These findings provide initial support for the utility of this novel subjective income measurement to account for economic status in research on DRD and health. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Substance-related cross-commodity purchase tasks: A systematic review.

OBJECTIVE: In the context of behavioral economics, drug use is a choice to which an individual may allocate responding despite the presence of alternative response possibilities. To examine the demand for a drug in an environment in which other drugs or nondrug alternatives are present, researchers often use a cross-commodity purchase task. These tasks allow participants to make choices across several reinforcers at varied unit prices and may elucidate behavioral economic patterns of substitutability and complementarity. The objective of this study was to conduct a systematic review of cross-commodity purchase task studies with human participants. METHOD: Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we screened 46 full-text studies (from 456 total records obtained from PsycINFO and PubMed databases and reference list search), yielding a final sample of 35 studies. RESULTS: The drug category with the largest number of studies assessed was tobacco and nicotine products. The most consistent economic relationships found were substitutability of traditional cigarettes by e-cigarettes and e-liquid, and both legal and illegal cannabis for the other; however, other substitutable and complementary relationships were observed (e.g., substitution of food for cigarettes, a complementary relationship between alcohol and cannabis). CONCLUSIONS: We discuss the implications of the results of this review from a treatment and harm reduction standpoint, highlight areas for future research particularly among drug categories with few studies and evaluating ecological validity of hypothetical measures, and make best practice recommendations for future cross-commodity drug-related purchase task research. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Income shock increases preferences for smaller immediate rewards and reduces alcohol demand among a sample of crowd-sourced adults.

In behavioral economics, income shock manipulations (hypothetical narratives where money is gained or lost) can provide meaningful insight into decision-making related to primary and secondary commodities. To date, few studies have examined the impact of income shock on delay discounting in healthy controls and individuals using substances, and no study to date has examined the impact of income shock on alcohol demand. This study examined the effects of income shock on behavioral economic assessments (i.e., delay discounting and alcohol demand) among a sample of adult participants recruited via Amazon Mechanical Turk (N = 140). The sample was predominantly middle-aged, male, and White (mean age = 38.81; 37.1% female; 77.1% White). Participants were randomly assigned to one of three income shock narratives (negative, neutral, positive). They completed two versions of the 5-choice delay discounting task for $100 and $1,000 and an alcohol purchase task (APT) before and after the income shock narrative. Following negative income shock, preferences for smaller immediate rewards increased in the $100 version of the discounting task and decreased the price at which alcohol consumption was suppressed to zero (i.e., break point). Sensitivity to price changes in the APT decreased following neutral and positive income shock but not the negative condition. Results replicate and extend prior findings examining the impact of income shock on delay discounting. Furthermore, this is the first study to study income shock effects on alcohol demand. Findings suggest that primary commodity manipulation (i.e., money) can potentially impact decision-making regarding secondary commodities (i.e., alcohol). (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Next-day responsibilities attenuate demand for alcohol among a crowdsourced sample of community adults.

While several studies have examined how class time and internship responsibilities impact demand for alcohol in undergraduate samples, no study has examined this question using more universally applicable responsibilities with a sample of community adults. Therefore, the aim of this study was to examine the impact of a range of next-day responsibilities on demand for alcohol among a crowdsourced sample of community adults using a hypothetical alcohol purchase task (APT). Community adults (n = 261; 79% White; 60% identified as men; 39% identified as women; and 1% identified as nonbinary) with a mean age of 38.42 recruited from Amazon Mechanical Turk rank-ordered eight hypothetical next-day responsibilities across three categories (i.e., work, caregiving, and recreational). Participants first completed a standard APT with no explicit next-day responsibilities, followed by purchase tasks in the context of their two highest ranked responsibilities. All participants needed to pass several stages of attention and data quality checks to be included in the final sample. All observed demand indices (i.e., intensity, breakpoint, Omax, and Pmax) were significantly higher in the no responsibilities condition compared to both the first- and second-ranked responsibility condition (ps < .001); however, there was no significant difference in any demand index between the first- and second-ranked responsibility (p range .65-.91). These results extend prior work by demonstrating engagement with substance-free alternatives may reduce demand for alcohol among community adults. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Alcohol cues increase behavioral economic demand and craving for alcohol in nontreatment-seeking and treatment-seeking heavy drinkers.

BACKGROUND: Behavioral economic research has revealed significant increases in alcohol demand following exposure to alcohol-related cues. Prior research has focused exclusively on nontreatment-seeking heavy drinkers, included only male participants, or used heterogeneous methods. The current studies sought to replicate and extend existing findings in treatment-seeking and nontreatment-seeking heavy drinkers while also examining sex effects and moderation by alcohol use disorder (AUD) severity. METHODS: Study 1 included 117 nontreatment-seeking heavy drinkers (51.5% women; M age 34.69; 56.4% AUD+), and Study 2 included 89 treatment-seeking heavy drinkers with AUD (40.4% women; M age = 41.35). In both studies, alcohol demand was measured using a hypothetical alcohol purchase task (APT), and subjective alcohol craving was measured using visual analog scales. Measures were collected following exposure to neutral (water) cues in a standard room and alcohol cues in a bar lab. RESULTS: Alcohol demand (intensity, Omax , breakpoint, and elasticity) and craving were significantly increased following alcohol cues compared to neutral cues (ps < 0.005) with effect sizes ranging from small to large (ηp 2 = 0.074-0.480). Participants with AUD (Study 1) or with higher AUD severity (Study 2) reported higher craving and higher demand for most indices (i.e., main effects; ps < 0.032, ηp 2 = 0.043-0.239). A larger alcohol cue increase in Omax was found for AUD+ participants in Study 1 compared to non-AUD participants (p = 0.028, ηp 2 = 0.041) but not for any other indices in Study 1 or Study 2. There were no significant sex effects. CONCLUSIONS: These findings replicate and extend prior research by offering additional insight into alcohol cue effects on the reinforcing value of alcohol and subjective motivation to drink. The results also suggest that sex and AUD severity do not meaningfully impact cue effects across most indices of demand.

Neuroeconomic predictors of smoking cessation outcomes: A preliminary study of delay discounting in treatment-seeking adult smokers.

Large proportions of smokers are unsuccessful in evidence-based smoking cessation treatment and identifying prognostic predictors may inform improvements in treatment. Steep discounting of delayed rewards (delay discounting) is a robust predictor of poor smoking cessation outcome, but the underlying neural predictors have not been investigated. Forty-one treatment-seeking adult smokers completed a functional magnetic resonance imaging (fMRI) delay discounting paradigm prior to initiating a 9-week smoking cessation treatment protocol. Behavioral performance significantly predicted treatment outcomes (verified 7-day abstinence, n = 18; relapse, n = 23). Participants in the relapse group exhibited smaller area under the curve (d = 1.10) and smaller AUC was correlated with fewer days to smoking relapse (r = 0.56, p < 0.001) Neural correlates of discounting included medial and dorsolateral prefrontal cortex, posterior cingulate, precuneus and anterior insula, and interactions between choice type and relapse status were present for the dorsolateral prefrontal cortex, precuneus and the striatum. This initial investigation implicates differential neural activity in regions associated with frontal executive and default mode activity, as well as motivational circuits. Larger samples are needed to improve the resolution in identifying the neural underpinnings linking steep delay discounting to smoking cessation.

Individual- and school-level patterns of substance use and mental health symptoms in a population-based sample of secondary students: A multilevel latent profile analysis.

BACKGROUND: While substance use and mental health symptoms commonly co-occur among adolescents, few population-level studies have examined profiles of co-occurrence to inform tailored prevention and early interventions. METHODS: A multilevel latent profile analysis was conducted on a representative sample of 11,994 students in 68 secondary schools to: 1) identify distinct profiles of co-occurring substance use and mental health symptoms; 2) identify types of schools based on student profiles; and 3) explore school correlates of student profiles and school types, including school climate, belonging, and safety. RESULTS: Five student profiles and three school types were identified. Among students, 57.6 % were in a low substance use and mental health profile, 22.5 % were in a high mental health but low substance use profile, 9.7 % were in a heavy drinking and cannabis use profile, 3.7 % were in a heavy drinking and smoking profile, and 6.5 % were in a high substance use and mental health profile. Positive school climate, belonging, and safety increased the odds of students being in the low profile, with belonging yielding larger effects among females. Among schools, 28 % had low, 57 % had moderate, and 15 % had high levels of student substance use and comorbid mental health symptoms. Rural schools were disproportionately represented in higher risk school types. CONCLUSIONS: The identified student substance use and mental health symptom profiles can serve as targets for tailored prevention and early interventions. Results support examining school-based interventions targeting school climate, belonging, and safety with potential benefits to both substance use and mental health.

Perceptions of prevalence, consequences, and strategies for managing contraband substance use in an inpatient concurrent disorders program: A qualitative study of patient perspectives and survey of clinician perspectives.

Objective: Inpatient treatment programs for substance use disorders (SUDs) typically have an abstinence policy for patients, but unsanctioned substance use nonetheless takes place and can have significant negative clinical impacts. The current study sought to understand this problem from a patient perspective and to develop strategies for improved contraband substance management in an inpatient concurrent disorders sample. Methods: First, a qualitative study (n = 10; 60% female) was undertaken to ascertain perceived prevalence, impact, and patient-generated strategies. Second, an anonymous follow-up survey was conducted with unit staff clinicians to evaluate the suggested strategies. Results: Patients reported that contraband substance use was present and had significant negative consequences clinically. Recommendations from patients included more extensive urine drug screening, the use of drug-sniffing dogs, and direct contingencies for contraband use. Nineteen staff competed an anonymous follow-up questionnaire to evaluate the viability of these strategies, revealing variable perceptions of feasibility and effectiveness. Conclusion: These findings emphasize the adverse consequences of contraband substance use in addiction treatment programs and identify patient-preferred strategies for managing this challenge.