Publications by authors named "Samuel Acuff"

Rationale: Several studies have reported associations between substance use and effort-related decision making, or the degree to which effort expenditure impacts the choice between lower and higher value rewards. However, previous research has not explored effort-related decision making in populations with severe substance use disorder.

Objectives: Investigate the association between effort-related decision-making and substance use disorder severity.

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Article Synopsis
  • Daily cannabis use rose significantly by 94% from 2002 to 2019, but the prevalence of cannabis use disorder (CUD) among daily users decreased by nearly 48%.
  • Alcohol use showed a decrease in daily use by about 11% and a slight reduction in alcohol use disorder (AUD).
  • The findings indicate that societal perceptions of harm related to cannabis have evolved, affecting the diagnosis and treatment of CUD compared to AUD over the same period.
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Alcohol use disorder is prevalent, and various risk factors inform drinking onset and drinking patterns. Existing data suggest that alcohol sweet taste preference may be associated with harmful levels of alcohol use and alcohol-related harm. The present exploratory study aimed to characterize people's first alcohol use experience, probe the association between sweet taste preferences and drinking patterns over time, and evaluate the relationship between sweet taste preferences and behavioral economic variables.

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Policies vary substantially in terms of providing sources of psychosocial enrichment. Behavioral economic models of substance use and addiction emphasize that deficits in access to substance-free sources of reward increase substance reinforcing value and risk for addiction. The current study used an alcohol demand curve approach to test the hypothesis that various indices of reward deprivation would be associated with elevated alcohol reinforcing efficacy.

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Background And Aims: Alcohol use disorder (AUD) is characterized by low levels of engagement with effective treatments. Enhancing awareness of AUD treatments and how to navigate the treatment system is crucial. Many individuals use online sources (e.

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Rationale: Theories of addiction guide scientific progress, funding priorities, and policy development and ultimately shape how people experiencing or recovering from addiction are perceived and treated. Choice theories of addiction are heterogenous, and different models have divergent implications. This breeds confusion among laypeople, scientists, practitioners, and policymakers and reduces the utility of robust findings that have the potential to reduce the global burden of addiction-associated harms.

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Article Synopsis
  • The study aims to assess cannabis use and use disorder prevalence through epidemiologic surveys, addressing discrepancies in existing estimates and their reliability.
  • A meta-analysis of 39 studies from 1980-2013 revealed significant variability in prevalence rates, with past-year use estimated at 12.83% and lifetime use at 38.31%, indicating notable differences influenced by factors like country and methodology.
  • The findings highlight concerns about the generalizability of cannabis prevalence data and suggest recommendations for improving the validity and reliability of future estimates.
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The reinforcing efficacy, or behavior-strengthening effect, of a substance is a critical determinant of substance use typically quantified by measuring behavioral allocation to the substance under schedules of reinforcement with escalating response requirements. Although responses on these tasks are often used to indicate stable reinforcing effects or trait-level abuse potential for an individual, task designs often demonstrate within-person variability across varying degrees of a constraint within experimental procedures. As a result, quantifying behavioral allocation is an effective approach for measuring the impact of contextual and psychosocial factors on substance reward.

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Human laboratory models in substance use disorder provide a key intermediary step between highly controlled and mechanistically informative non-human preclinical methods and clinical trials conducted in human populations. Much like preclinical models, the variety of human laboratory methods provide insights into specific features of substance use disorder rather than modelling the diverse causes and consequences simultaneously in a single model. This narrative review provides a discussion of popular models of reward used in human laboratory research on substance use disorder with a focus on the specific contributions that each model has towards informing clinical outcomes (forward translation) and analogs within preclinical models (backward translation).

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Background: Behavioral economic theory suggests that the value of alcohol depends upon elements of the choice context, such that increasing constraints on alternatives (e.g., price) or increasing the benefits of alcohol (e.

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Objective: Social environment is a key determinant of substance use, but cannabis-related social network analysis is not common, in part because of the assessment burden of comprehensive egocentric social network analysis.

Method: The current pre-registered secondary analysis assessed the psychometric properties (i.e.

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Article Synopsis
  • Early substance use, especially polysubstance use, increases risks for mental health issues, particularly during the transition from elementary to secondary school.
  • A study analyzed data from over 19,000 students in Ontario to categorize substance use patterns among students and schools.
  • Findings revealed that only 4.1% of students were high risk for polysubstance use, with factors like mental health and positive school climate influencing substance use classes, highlighting the need for targeted prevention strategies.
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Background: Drinking commonly occurs in social settings and may bolster social reinforcement. Laboratory studies suggest that subjective effects and mood are mechanisms through which the social context influences alcohol consumption. Ecological momentary assessment (EMA) may be useful for extending these findings to the natural environment.

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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.

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Objective: Behavioral economic theory suggests that alcohol risk is related to elevated alcohol reinforcing efficacy (demand) combined with diminished availability of reinforcing substance-free activities, but little research has examined these reward-related processes at the daily level in association with comorbid conditions that might influence behavioral patterns and reward. Young people with attention-deficit/hyperactivity disorder (ADHD) report high levels of risky drinking, and this risk may be due in part to elevated demand for alcohol and diminished engagement in enjoyable and valued substance-free activities.

Method: College student drinkers ( = 101; 48.

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Article Synopsis
  • This study investigates how non-drug reinforcers—like enjoyable activities and social interactions—impact treatment outcomes for individuals recovering from substance use disorders.
  • Researchers analyzed data from over 5,400 treatment participants to see how these reinforcers correlated with the likelihood of relapse and life satisfaction after one month of treatment.
  • Findings suggest that higher levels of non-drug reinforcement are linked to better recovery outcomes, indicating a need for quick assessments to identify those at risk of relapse and to enhance treatment approaches.
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Objective: It is hypothesized that alcohol use is reinforcing when used as a strategy to cope with negative affect. Although the evidence for this hypothesis in observational data is weak, some experimental evidence suggests that the behavioral economic demand for alcohol increases immediately following a negative emotional event. We hypothesized that people show a higher demand for alcohol following negative (vs.

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While social context has long been considered central to substance use disorder prevention and treatment and many drug-taking events occur in social settings, experimental research on social context has historically been limited. Recent years have seen an emergence of concerted preclinical and human laboratory research documenting the direct impact of social context on substance use, delineating behavioral and neurobiological mechanisms underlying social influence's role. We review this emerging preclinical and human laboratory literature from a theoretical lens that considers distinct stages of the addiction process including drug initiation/acquisition, escalation, and recovery.

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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 ( = 497, = 22.

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Behavioural economic accounts of addiction conceptualize harmful drug use as an operant reinforcer pathology, emphasizing that a drug is consumed because of overvaluation of smaller immediate rewards relative to larger delayed rewards (delay discounting) and high drug reinforcing value (drug demand). These motivational processes are within-individual determinants of behaviour. A third element of learning theory posits that harmful drug use depends on the relative constraints on access to other available activities and commodities in the choice context (alternative reinforcers), reflecting the substantial influence of environmental factors.

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Background: Prescription opioids remain a primary treatment option for patients with chronic low back pain. However, little research has examined how patients take opioids in daily life. Behavioral economics suggest that the environmental context may contribute to patients' decisions around opioid use.

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Howard Rachlin and his contemporaries pioneered basic behavioral science innovations that have been usefully applied to advance understanding of human substance use disorder and related health behaviors. We briefly summarize the innovations of molar behaviorism (the matching law), behavioral economics, and teleological behaviorism. Behavioral economics and teleological behaviorism's focus on final causes are especially illuminating for these applied fields.

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Objective: Behavioral economics suggest that cannabis reinforcing value (cannabis demand) may be influenced by external, contextual factors such as the social reward that might accompany cannabis use and the presence of opportunity costs (e.g., a next-day responsibility that cannabis use might adversely impact).

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Objective: Alcohol use disorder (AUD) is an etiologically heterogeneous psychiatric disorder defined by a collection of commonly observed co-occurring symptoms. It is useful to contextualize AUD within theoretical frameworks to identify potential prevention, intervention, and treatment approaches that target personalized mechanisms of behavior change. One theoretical framework, behavioral economics, suggests that AUD is a temporally extended pattern of cost/benefit analyses favoring drinking decisions.

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Objective: A substantial number of people reduce their consumption of alcohol in the absence of formal treatment; however, less is known about the mechanisms of change. The aim of this study is to explore whether constructs derived from behavioral economics and computational decision-modeling characterize the moderation of alcohol consumption that many heavy drinkers experience without treatment.

Method: Between-subject, preregistered design.

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