Clinical Implications of Reinforcement as a Determinant of Substance Use Disorders

A randomized feasibility study of a positive psychology journaling intervention to support recovery from substance-use disorders

BACKGROUND

Individuals in early recovery face significant biopsychosocial stressors causing a preponderance of negative affect. Novel interventions are needed to improve mood and well-being to support recovery. Positive Recovery Journaling (PRJ) combines elements of positive psychology, behavioral activation, and journaling to emphasize what is going right and to encourage small, positive steps that align with an individual's values to make life in recovery more rewarding and therefore more reinforcing. Our objective was to determine PRJ's feasibility, acceptability, and impact on a set of strengths-based, multidimensional aspects of recovery, including satisfaction with life, happiness with recovery, and commitment to sobriety.

METHODS

The study randomized adults in substance-use disorder treatment (N = 81) to PRJ or control. Those in PRJ were asked to practice PRJ daily and complete online surveys for four weeks; those in the control group completed online surveys for four weeks. We used multi-level modelling to determine intercept and slope for feasibility and acceptability outcomes as well as to compare differences in recovery indicators between treatment and control at baseline and Weeks 2, 4, and 8. We conducted intention-to-treat and per-protocol analyses for each recovery indicator.

RESULTS

Participants were 53 % female, and 26 % Black, Indigenous, People of Color (BIPOC) and mean age of 39 years. PRJ participants attended 71 % of groups and completed 56 % of the daily PRJ entries. Treatment and control groups rated their study tasks (PRJ for the treatment group, surveys for the control group) as equally easy; however, the PRJ group rated PRJ as significantly more satisfying, helpful, and pleasant. Treatment and control were not significantly different on any recovery indicator. In post hoc analyses, we found that for those with <90 days sobriety at baseline (51 %), PRJ had a statistically significant beneficial effect for satisfaction with life, happiness with recovery, and numerous secondary recovery indicators.

DISCUSSION

Results suggest a positive impact of PRJ on numerous recovery indices for those in earliest recovery. Integrating PRJ into support services among those with <90 days sobriety could reinforce what is going well in recovery to encourage its continued maintenance and thereby improve treatment outcomes.

A meta-review of screening and treatment of electronic "addictions"

Concerns surrounding electronic addictions, an umbrella term including any clinically significant technology-based addictive problem, have increased as technology has advanced. Although researchers and clinicians have observed detrimental effects associated with excessive technology use, there is no agreed-on definition or set of criteria for these problems. The lack of a consistent understanding of electronic addictions has led to a lack of consistency in both assessment and treatment studies, precluding strong recommendations for effective screening and clinical intervention. This meta-review integrates findings from 22 systematic reviews and meta-analyses of electronic addictions to determine which measures and interventions may effectively measure and treat electronic addictions. We conducted a meta-review using Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Findings suggest that although some measures may have good internal consistency and reliability among college students, there was a general lack of consistency in how measures were used across studies, making comparison difficult. Psychological and exercise-based interventions were shown to reduce symptoms of electronic addictions short-term, but no treatment was superior to others in overall symptom reduction. Most included reviews raise serious concerns about the lack of consensus on what constitutes an electronic addiction. Consequently, it was not possible to draw conclusions about the overall efficacy of any measurement tools or interventions. We provide suggestions for next steps to establish the phenomenology of electronic addictions before additional research on assessment and intervention is conducted.

Measuring Cannabis Reinforcement among Young Adults: A Mixed Methods Examination

Introduction

Increasing reinforcement received from cannabis-free activities, relative to reinforcement from cannabis-related activities, is one way to reduce harmful cannabis use. Thus, accurate measurement of cannabis reinforcement is important. Using convergent mixed methods, we developed the Adolescent Reinforcement Survey Schedule-Cannabis Use Version (ARSS-CUV). ARSS-CUV, adapted from the alcohol use version, measures cannabis reinforcement by asking individuals how frequently they engaged in, and how much they enjoyed, different activities when using and not using cannabis.

Method

Young adults (N = 65; M age = 20.4 years [SD = 1.8]) completed measures of cannabis use, the ARSS-CUV, and provided feedback on included activities, via focus groups. Following Standards for Educational and Psychological Testing framework, this study examined evidence of measurement validity based on item content.

Results

Quantitative findings revealed that peer interactions were the most reinforcing activities, whereas activities related to family were least reinforcing. Qualitative findings indicated some confusion with question wording. Participants also indicated the importance of environmental context when using cannabis and noted who they use cannabis with may be more important than the activity they are doing. Changes were made to survey flow and response choices after participant feedback.

Conclusions

ARSS-CUV includes revisions in activities solicited and response format. The revised ARSS-CUV provides opportunities to advance measurement of an important construct (i.e., reinforcement) in the study of cannabis use. Psychometric properties of the ARSS-CUV across different populations and contexts of use (e.g., polysubstance use) should be examined.

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 (|βs| = 0.063-0.103, Ps < 0.05) in cross-lagged relationships, with bidirectional associations noted for the rate of change in elasticity (βs = -0.085 to -0.104, Ps < 0.01). Proportionate alcohol-related reinforcement also significantly forecasted changes in alcohol problems at all time points (βs = 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.

A brief measure of non-drug reinforcement: Association with treatment outcomes during initial substance use recovery

BACKGROUND

Translational research demonstrates that drug use is inversely associated with availability and engagement with meaningful non-drug reinforcers. Evaluation of non-drug reinforcement in treatment-receiving clinical populations is limited, likely owing to the time intensive nature of existing measures. This study explores the association of non-drug reinforcers with treatment outcomes using a novel, brief measure of past month non-drug reinforcement quantifying three elements: relative frequency, access, and enjoyability.

METHODS

Respondents enrolled in substance use treatment (residential, intensive outpatient, and medically managed withdrawal) in clinics across the United States (N = 5481) completed standardized assessments of non-drug reinforcement and treatment outcomes (i.e., return to use and life satisfaction) one-month after treatment discharge. Non-drug reinforcement measures (availability, engagement, enjoyability) were used as predictors of return to use and life satisfaction using generalized linear models.

RESULTS

Non-drug reinforcement indices were associated with return to use and life satisfaction in unadjusted models (e.g., 12.4 % versus 58.3 % return to use for those with the highest and lowest availability, respectively). Consistent results were observed in models adjusted for sociodemographic variables and risk factors (i.e., sleep disturbance, anhedonia, stress). Comparisons by drug class generally showed lower non-drug reinforcement among patients reporting heroin or methamphetamine as their primary drug.

CONCLUSIONS

Results highlight the importance of non-drug reinforcement during the first month following treatment. Rapid measurement of non-drug reinforcement in stepped care settings may illuminate critical deficits in early stages of behavior change, identify those at greatest risk for return to use, and provide targets for treatment to improve recovery trajectories.

Reward prediction-errors weighted by cue salience produces addictive behaviours in simulations, with asymmetrical learning and steeper delay discounting

Dysfunction in learning and motivational systems are thought to contribute to addictive behaviours. Previous models have suggested that dopaminergic roles in learning and motivation could produce addictive behaviours through pharmacological manipulations that provide excess dopaminergic signalling towards these learning and motivational systems. Redish (2004) suggested a role based on dopaminergic signals of value prediction error, while (Zhang et al., 2009) suggested a role based on dopaminergic signals of motivation. However, both models present significant limitations. They do not explain the reduced sensitivity to drug-related costs/negative consequences, the increased impulsivity generally found in people with a substance use disorder, craving behaviours, and non-pharmacological dependence, all of which are key hallmarks of addictive behaviours. Here, we propose a novel mathematical definition of salience, that combines aspects of dopamine's role in both learning and motivation within the reinforcement learning framework. Using a single parameter regime, we simulated addictive behaviours that the (Zhang et al., 2009; Redish, 2004) models also produce but we went further in simulating the downweighting of drug-related negative prediction-errors, steeper delay discounting of drug rewards, craving behaviours and aspects of behavioural/non-pharmacological addictions. The current salience model builds on our recently proposed conceptual theory that salience modulates internal representation updating and may contribute to addictive behaviours by producing misaligned internal representations (Kalhan et al., 2021). Critically, our current mathematical model of salience argues that the seemingly disparate learning and motivational aspects of dopaminergic functioning may interact through a salience mechanism that modulates internal representation updating.

A contextualized reinforcer pathology approach to addiction

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. In this Perspective, we integrate alternative reinforcers into the contemporary behavioural economic account of harmful drug use - the contextualized reinforcer pathology model - and review empirical literature across the translational spectrum in support of this model. Furthermore, we consider how increases in drug-related mortality and health disparities in addiction can be understood and potentially ameliorated via a contextualized reinforcer pathology model in which lack of alternative reinforcement is a major risk factor for addiction.

Social media sites users' choice between utilitarian and informational reinforcers assessed using temporal discounting

Objective

This study provides a first approach to the use of the Multiple-Choice Procedure in social media networks use, as well as empirical evidence for the application of the Behavioral Perspective Model to digital consumption behavior in young users in conjunction with a methodology based on behavioral economics.

Participants/methods

The participants were part of a large university in Bogotá, Colombia, and they received an academic credit once they completed the online questionnaire. A total of 311 participants completed the experiment. Of the participants, 49% were men with a mean age of 20.6 years (SD = 3.10, Range = 15-30); 51% were women with a mean age of 20.2 years (SD = 2.84, Range = 15-29).

Results

Among the total participants, 40% reported that they used social networks between 1 and 2 h a day, 38% between 2 and 3 h, 16% for 4 h or more, and the remaining 9% used them for 1 h or less per day. The factorial analysis of variance (ANOVA) allowed us to identify a statistically significant effect of the delay of the alternative reinforcer, that is, the average crossover points were higher when the monetary reinforcer was delayed 1 week, compared to the immediate delivery of the monetary reinforcer. There was no statistically significant effect of the interaction between the magnitude of the reinforcer and the delay time of the alternative reinforcer.

Conclusions

This study supports the relative reinforcing value of an informational reinforcement consequence such as social media use, which is sensitive to both the magnitude of reinforcement and the delay in delivery as individual factors. The findings on reinforcer magnitude and delay effects are consistent with previous research that have applied behavioral economics to the study of non-substance-related addictions.

Matching, behavioral economics, and teleological behaviorism: Final cause analysis of substance use and health behavior

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. Translational and applied research are summarized for laboratory studies of temporal discounting and economic demand, cohort studies of alcohol and other drug use in the natural environment, and experimental behavioral economic modeling of health behavior-related public health policies. We argue that the teleological behavioral perspective on health behavior is conducive to and merges seamlessly with the contemporary socioecological model of health behavior, which broadens the contextual influences (e.g., community, economic, infrastructure, health care access and policy) of individuals' substance use and other health risk behaviors. Basic-to-applied translations to date have been successful and bode well for continued applications of basic science areas pioneered by Howard Rachlin and his contemporaries.

Hazardous drinking and alcohol use disorders

Alcohol is one of the most widely consumed psychoactive drugs globally. Hazardous drinking, defined by quantity and frequency of consumption, is associated with acute and chronic morbidity. Alcohol use disorders (AUDs) are psychiatric syndromes characterized by impaired control over drinking and other symptoms. Contemporary aetiological perspectives on AUDs apply a biopsychosocial framework that emphasizes the interplay of genetics, neurobiology, psychology, and an individual's social and societal context. There is strong evidence that AUDs are genetically influenced, but with a complex polygenic architecture. Likewise, there is robust evidence for environmental influences, such as adverse childhood exposures and maladaptive developmental trajectories. Well-established biological and psychological determinants of AUDs include neuroadaptive changes following persistent use, differences in brain structure and function, and motivational determinants including overvaluation of alcohol reinforcement, acute effects of environmental triggers and stress, elevations in multiple facets of impulsivity, and lack of alternative reinforcers. Social factors include bidirectional roles of social networks and sociocultural influences, such as public health control strategies and social determinants of health. An array of evidence-based approaches for reducing alcohol harms are available, including screening, pharmacotherapies, psychological interventions and policy strategies, but are substantially underused. Priorities for the field include translating advances in basic biobehavioural research into novel clinical applications and, in turn, promoting widespread implementation of evidence-based clinical approaches in practice and health-care systems.

Individual differences in cocaine seeking during voluntary abstinence predicts cocaine relapse and the circuitry mediating relapse

RATIONALE

There are no FDA-approved treatments to facilitate recovery from cocaine use disorder. Contingency management offers non-drug reinforcers to encourage abstinence and is effective at reducing drug seeking during treatment, but once discontinued, relapse rates increase.

OBJECTIVES

We sought to establish a choice-based rodent model of voluntary abstinence (VA) from cocaine to test the ability of ceftriaxone, an antibiotic consistently shown to prevent relapse to cocaine seeking in rodents, to attenuate relapse after discontinuation of VA, and to investigate relapse-induced neuronal activation via c-Fos expression.

METHODS

Male Sprague-Dawley rats self-administered sucrose pellets for 5 days and intravenous cocaine for 12 days. Rats then underwent 14 days of voluntary or forced abstinence. VA sessions entailed the opportunity to choose between sucrose and cocaine delivery in discrete trials (20 trials/day). Ceftriaxone (or vehicle) was administered during the last 7 days of abstinence. During a relapse test, only the cocaine-paired lever was available and presses on the lever delivered cocaine-paired cues.

RESULTS

There were more presses on the sucrose lever during VA, but cocaine intake did not decline to zero. Ceftriaxone had no effect on cocaine intake during VA. Neither ceftriaxone nor VA reduced cocaine seeking during the relapse test, and cocaine intake during VA positively correlated with cocaine seeking during the test in vehicle-treated animals. Relapse-induced c-Fos expression was found to be greater in the ventral orbitofrontal cortex following VA.

CONCLUSIONS

Sucrose availability leads to a decrease in, but not cessation of, cocaine seeking and a differential engagement of the circuitry underlying relapse.

Intersections between environmental reward availability, loss aversion, and delay discounting as potential risk factors for cigarette smoking and other substance use

Behavioral theory suggests that density of environmental rewarding activities and biases in decision making influence risk for substance use disorder (SUD). To better understand intersections of these potential risk factors, this study examined whether environmental reward predicted smoking status or other drug use and whether such associations were independent of two decision-making biases known to predict SUD risk, namely loss aversion and delay discounting. Individuals that reported current daily cigarette smoking (n = 186; >10 cigarettes/day) and never-smoking (n = 241; <100 cigarettes lifetime) were recruited with standard crowdsourcing methods. Participants answered questions on alcohol and other drug use. Environmental reward was assessed using the Reward Probability Index (RPI), and loss aversion (LA) and delay discounting (DD) using a gamble-acceptance task and monetary choice questionnaire, respectively. Associations of RPI, LA, and DD with cigarette smoking, alcohol use, other drug use, and combinations of co-use were examined with logistic regression controlling for sociodemographic variables (educational attainment, gender, age). Low RPI (odds ratio[OR] = 0.97, p = .006), low LA (OR = 1.22, p < .001), and high DD (OR = 1.12, p = .03), were each independently associated with increased risk for cigarette smoking, as well as other substance use, and use combinations. We saw no evidence that RPI was significantly influencing associations between LA and DD with smoking status or other substance use. Finally, RPI, but not LA or DD, was significantly associated with depressed mood and sleep disturbance. These results provide new evidence on associations of RPI with smoking status and other substance use while further documenting independent associations between LA and DD and those outcomes.

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.

Reinforcer pathology of internet-related behaviors among college students: Data from six countries

Research has demonstrated that repeated engagement in low-effort behaviors that are associated with immediate reward, such as Internet use, can result in a pathological reinforcement process in which the behavior is increasingly selected over other activities due, in part, to a low availability of alternative activities and to a strong preference for immediate rather than delayed rewards (delay discounting). However, this reinforcer pathology model has not been generalized to other Internet-related behaviors, such as online gaming or smartphone use. Given the widespread availability of these technologies, it is also important to examine whether reinforcer pathology of Internet-related behaviors is culturally universal or culture-specific. The current study examines relations between behavioral economic constructs (Internet demand, delay discounting, and alternative reinforcement) and Internet-related addictive behaviors (harmful Internet use, smartphone use, online gaming, and Internet sexual behavior) in a cross-sectional sample of college students (N = 1,406) from six different countries (Argentina, Australia, India, Malaysia, the United Kingdom, and the United States). Using structural equation modeling, Internet demand was associated with harmful Internet use, smartphone use, and online gaming; delay discounting was associated with harmful smartphone use; and alternative reinforcement was associated with harmful Internet and smartphone use. The models were partially invariant across countries. However, mean levels of behavioral economic variables differed across countries, country-level gross domestic product, person-level income, and sex at birth. Results support behavioral economic theory and highlight the importance of considering both individual and country-level sociocultural contextual factors in models for understanding harmful engagement with Internet-related behaviors. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Motives and Consequences of Alcohol Use in People With Social Anxiety Disorder: A Daily Diary Study

People with social anxiety disorder (SAD) are at increased risk for alcohol-related problems. Most research exploring social anxiety and alcohol use has examined negative drinking consequences, with less consideration of positive consequences-namely positive social experiences-that may reinforce alcohol use. In this daily diary study, we examined how adults diagnosed with SAD (N = 26) and a psychologically healthy control group (N = 28) experienced positive drinking consequences in naturally occurring drinking episodes during the study period. For 14 consecutive days, participants answered questions about alcohol use, motives for drinking, and positive consequences of drinking. On days when participants drank, those with SAD were more likely than healthy controls to perceive a reduction in anxiety, but the two groups did not differ in their likelihood of experiencing positive social drinking consequences. For both groups, on days when they were more motivated to drink to enhance social experiences (affiliation motives) or cope with distress (coping motives), they were more likely to obtain positive consequences from drinking. Compared to controls, participants with SAD endorsed stronger trait and daily coping motives (anxiety-coping, social anxiety-coping, and depression-coping). Results are discussed in the context of reinforcement mechanisms that may maintain social anxiety and alcohol use.

Is addiction a brain disease? A plea for agnosticism and heterogeneity

RATIONALE

Although increasingly subject to criticism, the brain disease model of addiction (BDMA) remains dominant within addiction science. Yet few advocates or critics of the BDMA have provided an account of what a brain disease is. The aim of this review is to conceptually clarify what it would mean for the BDMA to be true, rather than to argue decisively for or against it.

OBJECTIVES

Conceptual clarification of the BDMA requires consideration of possible models of disease and their relationship to the BDMA. A barrier to such consideration is belief that the BDMA is necessary to combatting addiction stigma. To address this barrier, I begin with discussion of what we know about the effects of the brain disease label on addiction stigma, and why labelling effects should have no bearing on the validity of the BDMA. I then distinguish strong, minimal, network, and mismatch models of disease, and I argue that the BDMA aligns with a strong disease model. This means that underlying brain pathology is hypothesized to be the cause of the personal-level observable signs and experienced symptoms characteristic of addiction. Evaluation of the BDMA therefore requires analysis of the concepts of brain dysfunction and causation, and their application to addiction science.

RESULTS

Brain dysfunction cannot be analyzed merely as brain changes or brain differences; nor can it be inferred merely from the presence of personal-level signs and symptoms. It is necessary to have an account of normal brain function by which to measure it. The theoretical and empirical challenges to developing such an account are not insurmountable, but they are substantial. Although there exist competing analyses of causation, there is a relatively standard method used to establish it within experimental science: intervention. Using this method, the causal significance of brain states, such as, e.g., extensive gray matter loss and/or neuroadapations in the mesocorticolimbic dopamine system, is not yet fully demonstrated. Further studies are necessary to determine their effect compared with other possible variables, such as, e.g., alternative reinforcers.

CONCLUSIONS

Conceptual clarification and preliminary empirical assessment of the BDMA recommends agnosticism about its validity and an openness to heterogeneity; in some cases addiction may be a brain disease, in others not. Either way, addiction stigma can be combatted by fighting moralism about drugs and moralistic drug policies directly, as opposed to resting hopes on the brain disease label.

A review of mathematical modeling of addiction regarding both (neuro-) psychological processes and the social contagion perspectives

Addiction is a complex biopsychosocial phenomenon, impacted by biological predispositions, psychological processes, and the social environment. Using mathematical and computational models that allow for surrogative reasoning may be a promising avenue for gaining a deeper understanding of this complex behavior. This paper reviews and classifies a selection of formal models of addiction focusing on the intra- and inter-individual dynamics, i.e., (neuro) psychological models and social models. We find that these modeling approaches to addiction are too disjoint and argue that in order to unravel the complexities of biopsychosocial processes of addiction, models should integrate intra- and inter-individual factors.

Differential brain responses to alcohol-related and natural rewards are associated with alcohol use and problems: Evidence for reward dysregulation

Multiple theoretical perspectives posit that drug use leads to biased valuation of drug-related reward, at the expense of naturally occurring rewarding activities (i.e., reward dysregulation). Recent research suggests that the comparative balance of drug-related and nondrug-related reward valuation is a powerful determinant of substance misuse and addiction. We examined differential neurophysiological responses-indexed with the P3 component of the event-related potential (ERP)-elicited by visual alcohol cues and cues depicting natural reward as a neurobiological indicator of problematic drinking. Nondependent, young adult drinkers (N = 143, aged 18-30 years) completed questionnaire measures assessing alcohol use and problems, and viewed alcohol cues (pictures of alcoholic beverages), high-arousing natural reward cues (erotica, adventure scenes), nonalcoholic beverage cues, and neutral scenes (e.g., household items) while ERPs were recorded. When examined separately, associations of P3-ERP reactivity to alcohol cues and natural reward cues with alcohol use and problems were weak. However, differential P3 response to the two types of cues (i.e., reward dysregulation P3) showed consistent and robust associations with all indices of alcohol use and problems and differentiated high-risk from lower-risk drinkers. The current results support the idea that the differential incentive-motivational value of alcohol, relative to naturally rewarding activities, is associated with increased risk for substance misuse and dependence, and highlight a novel neurophysiological indicator-the reward dysregulation P3-of this differential reward valuation.

Computational validity: using computation to translate behaviours across species

We propose a new conceptual framework (computational validity) for translation across species and populations based on the computational similarity between the information processing underlying parallel tasks. Translating between species depends not on the superficial similarity of the tasks presented, but rather on the computational similarity of the strategies and mechanisms that underlie those behaviours. Computational validity goes beyond construct validity by directly addressing questions of information processing. Computational validity interacts with circuit validity as computation depends on circuits, but similar computations could be accomplished by different circuits. Because different individuals may use different computations to accomplish a given task, computational validity suggests that behaviour should be understood through the subject's point of view; thus, behaviour should be characterized on an individual level rather than a task level. Tasks can constrain the computational algorithms available to a subject and the observed subtleties of that behaviour can provide information about the computations used by each individual. Computational validity has especially high relevance for the study of psychiatric disorders, given the new views of psychiatry as identifying and mediating information processing dysfunctions that may show high inter-individual variability, as well as for animal models investigating aspects of human psychiatric disorders. This article is part of the theme issue 'Systems neuroscience through the lens of evolutionary theory'.

Anhedonia in Nicotine Dependence

Prior findings indicate that trait anhedonia enhances the likelihood of becoming a tobacco smoker, and preliminary evidence suggests that smoking abstinence leads to anhedonic states in some individuals and situations, and nicotine administration reduces anhedonic states. Nevertheless, many vital questions exist concerning relationships between anhedonia and nicotine dependence, including situational and individual difference factors that may moderate the strength of these associations. This chapter provides a critical review of the literature assessing relationships of anhedonia to nicotine dependence and the effects of acute nicotine through the lenses of the Research Domain Criteria's (RDoC) Positive Valence Systems (NIMH, RDoC changes to the matrix (CMAT) workgroup update: proposed positive valence domain revisions. A report by the national advisory mental health council workgroup on changes to the research domain criteria matrix, 2018) and the Situation x Trait Affective Response (STAR) model of nicotine's effects and nicotine dependence (Gilbert, Smoking individual differences, psychopathology, and emotion. Taylor and Francis, Washington, DC, 1995; Gilbert, Hum Psychopharmacol Clin Exp 12:S89-S102, 1997). The effects of nicotine and nicotine withdrawal on subjective, behavioral, and brain indices vary across the three RDoC Positive Valences Systems (Reward Responsiveness, Reward Learning, and Reward Valuation) in a manner that supports the research and potential clinical utility of using RDoC criteria and the STAR model to guide research and clinical innovation. We provide a revision of the STAR model that incorporates the three RDoC Positive Valence Systems with evidence that nicotine's effects on hedonic and affective processes vary as a function of the dominance/salience of (1) situational hedonic and affective cues and task/active coping cues, and (2) state executive functioning level/capacity and state reward sensitivity such that these effects of nicotine are maximal during states of suboptimal cognitive functioning and reward sensitivity, combined with low situational stimulus salience and low task-related cues/demands.

Personality and Alcohol Use across College: Examining Context-Dependent Pathways toward Alcohol Problems

BACKGROUND

College life is characterized by marked increases in alcohol consumption. Extraversion and neuroticism are associated with alcohol use problems in college and throughout adulthood, each with alcohol use patterns consistent with an externalizing and internalizing pathway respectively. Students higher in extraversion drink more frequently and consume more alcohol, while neuroticism is paradoxically not consistently associated with elevated alcohol use.

OBJECTIVE

This study examined whether students higher in neuroticism may drink the day before stressors, namely tests and assignment deadlines.

METHOD

Multilevel generalized linear models were performed using data from a longitudinal study of first-time, first-year undergraduates assessing alcohol use across four years of college, with daily diary bursts each semester.

RESULTS

Students higher in extraversion had heavier alcohol use and greater alcohol use problems in their fourth year of college. Neuroticism was not associated with drinking behaviors or with drinking before a test or assignment, but was associated with greater fourth year alcohol problems. Students lower in extraversion who reduced heavy drinking the day before academic events had fewer alcohol use problems at the fourth year of college relative to students higher in extraversion.

CONCLUSIONS

Students higher in extraversion appear to exhibit a continuity of established alcohol use patterns from adolescence, predisposing them to a more hazardous trajectory of college alcohol use. Characteristics of low extraversion may afford some protection from alcohol-positive college culture. High neuroticism appears associated with a hazardous trajectory of college alcohol use, but continued research into situational factors of alcohol use in high neuroticism is warranted.

Factors modulating the incubation of drug and non-drug craving and their clinical implications

It was suggested in 1986 that cue-induced cocaine craving increases progressively during early abstinence and remains high during extended periods of time. Clinical evidence now supports this hypothesis and that this increase is not specific to cocaine but rather generalize across several drugs of abuse. Investigators have identified an analogous incubation phenomenon in rodents, in which time-dependent increases in cue-induced drug seeking are observed after abstinence from intravenous drug or palatable food self-administration. Incubation of craving is susceptible to variation in magnitude as a function of biological and/or the environmental circumstances surrounding the individual. During the last decade, the neurobiological correlates of the modulatory role of biological (sex, age, genetic factors) and environmental factors (environmental enrichment and physical exercise, sleep architecture, acute and chronic stress, abstinence reinforcement procedures) on incubation of drug craving has been investigated. In this review, we summarized the behavioral procedures adopted, the key underlying neurobiological correlates and clinical implications of these studies.

Associations between alcohol demand and both the experience and subjective evaluation of positive and negative alcohol-related consequences

BACKGROUND

Considerable variation exists in the extent to which alcohol-related consequences are evaluated as positive or negative. These evaluations, in turn, predict subsequent drinking behavior. Understanding the etiological pathways to positive and negative alcohol-related consequences is essential to the design of interventions aimed at reducing drinking consequences. Behavioral economic models posit that excessive alcohol valuation contributes to problematic use. Elevated alcohol demand (i.e., relative alcohol value) is associated with negative alcohol-related consequences; however, it is unclear whether demand is related to positive consequences or subjective consequence evaluations.

METHODS

College student drinkers (n = 114; 74.6% female) completed an online survey. Participants indicated whether they had ever experienced any of 24 negative and 14 positive consequences and subjectively evaluated their most recent experience of each consequence endorsed. An alcohol purchase task assessed hypothetical alcohol consumption across 14 prices and three observed demand indices were calculated: intensity (i.e., consumption at zero cost), O_max (i.e., maximum expenditure), and P_max (i.e., price associated with maximum expenditure). Bivariate correlations and hierarchical regressions were used to test associations between observed demand indices and the number and subjective evaluations of positive and negative (researcher- and participant-defined) consequences.

RESULTS

Intensity and O_max , but not P_max , were bivariately associated with researcher- and participant-defined negative and positive consequences. However, in hierarchical regression models that controlled for the maximum number of drinks consumed in a single day over the past month, only intensity was significantly associated with more negative and positive consequences. Intensity was associated with positive consequence evaluations in bivariate but not regression models.

CONCLUSION

Students with higher intensity reported more prior alcohol consequences (positive and negative), independent of drinking level. However, subjective evaluations of recent consequences did not vary as a function of demand. Results support using behavioral economic models to facilitate identifying etiologic pathways to alcohol consequences and suggest that novel interventions incorporating demand manipulation may reduce drinking consequences.

Deliberative Decision-Making in Macaques Removes Reward-Driven Response Vigor

Most of our daily decisions are governed by one of two systems: an impulsive system driving instantaneous decisions and a deliberative system driving thoughtful ones. The impulsive system reacts to immediately available concrete rewards. In contrast, the deliberative system reacts to more delayed rewards and/or punishments, which imposes consideration of longer-term choice consequences. Contingency management for addiction treatment is hypothesized to engage deliberative processes. Ultimately, in both decision-making situations, an action is needed to enact the decision. Whether those actions differ in implementation is an open question whose answer could inform as to whether distinct neural systems are engaged. To explore whether there is evidence of separate mechanisms between deliberated and immediate choices, we trained monkeys to perform a decision-making task where they made a choice on a touch screen between two visual cues predicting different amounts of reward. In immediate choice (IC) trials, the cues appeared at the final response locations where subjects could immediately touch the chosen cue. In deliberated choice (DC) trials, compound cues appeared orthogonally to the response locations. After a delay, allowing for decision formation, an identifying cue component was displaced to the randomly assigned response locations, permitting subjects to reach for the chosen cue. Both trial types showed an effect of cue value on cue selection time. However, only IC trials showed an effect of the competing cue on response vigor (measured by movement duration) and a reach trajectory that deviated in the direction of the competing cue, suggesting a decision reexamination process. Reward modulation of response vigor implicates dopaminergic mechanisms. In DC trials, reach trajectories revealed a commitment to the chosen choice target, and reach vigor was not modulated by the value of the competing cue. Our results suggest that choice–action dynamics are shaped by competing offers only during instantaneous, impulsive choice. After a deliberated decision, choice–action dynamics are unaffected by the alternative offer cue, demonstrating a commitment to the choice. The potential relevance to contingency management is discussed.

An informatics approach to examine decision-making impairments in the daily life of individuals with depression

Mental health informatics studies methods that collect, model, and interpret a wide variety of data to generate useful information with theoretical or clinical relevance to improve mental health and mental health care. This article presents a mental health informatics approach that is based on the decision-making theory of depression, whereby daily life data from a natural sequential decision-making task are collected and modeled using a reinforcement learning method. The model parameters are then estimated to uncover specific aspects of decision-making impairment in individuals with depression. Empirical results from a pilot study conducted to examine decision-making impairments in the daily lives of university students with depression are presented to illustrate this approach. Future research can apply and expand on this approach to investigate a variety of daily life situations and psychiatric conditions and to facilitate new informatics applications. Using this approach in mental health research may generate useful information with both theoretical and clinical relevance and high ecological validity.

Addiction as a brain disease revised: why it still matters, and the need for consilience

The view that substance addiction is a brain disease, although widely accepted in the neuroscience community, has become subject to acerbic criticism in recent years. These criticisms state that the brain disease view is deterministic, fails to account for heterogeneity in remission and recovery, places too much emphasis on a compulsive dimension of addiction, and that a specific neural signature of addiction has not been identified. We acknowledge that some of these criticisms have merit, but assert that the foundational premise that addiction has a neurobiological basis is fundamentally sound. We also emphasize that denying that addiction is a brain disease is a harmful standpoint since it contributes to reducing access to healthcare and treatment, the consequences of which are catastrophic. Here, we therefore address these criticisms, and in doing so provide a contemporary update of the brain disease view of addiction. We provide arguments to support this view, discuss why apparently spontaneous remission does not negate it, and how seemingly compulsive behaviors can co-exist with the sensitivity to alternative reinforcement in addiction. Most importantly, we argue that the brain is the biological substrate from which both addiction and the capacity for behavior change arise, arguing for an intensified neuroscientific study of recovery. More broadly, we propose that these disagreements reveal the need for multidisciplinary research that integrates neuroscientific, behavioral, clinical, and sociocultural perspectives.

A common limiter circuit for opioid choice and relapse identified in a rodent addiction model

Activity in numerous brain regions drives heroin seeking, but no circuits that limit heroin seeking have been identified. Furthermore, the neural circuits controlling opioid choice are unknown. In this study, we examined the role of the infralimbic cortex (IL) to nucleus accumbens shell (NAshell) pathway during heroin choice and relapse. This model yielded subpopulations of heroin versus food preferring rats during choice, and choice was unrelated to subsequent relapse rates to heroin versus food cues, suggesting that choice and relapse are distinct behavioral constructs. Supporting this, inactivation of the IL with muscimol produced differential effects on opioid choice versus relapse. A pathway-specific chemogenetic approach revealed, however, that the IL-NAshell pathway acts as a common limiter of opioid choice and relapse. Furthermore, dendritic spines in IL-NAshell neurons encode distinct aspects of heroin versus food reinforcement. Thus, opioid choice and relapse share a common addiction-limiting circuit in the IL-NAshell pathway.

Trajectories of reward availability moderate the impact of brief alcohol interventions on alcohol severity in heavy-drinking young adults

BACKGROUND

Behavioral economic theory predicts that low access to environmental reward is a risk factor for alcohol use disorder (AUD). The Substance-Free Activity Session (SFAS) is a behavioral economic supplement to standard brief alcohol interventions that attempts to increase environmental reward and may therefore have beneficial effects, particularly for individuals with low levels of environmental reward.

METHODS

Participants were 393 college students who reported at least 2 heavy-drinking episodes in the past month. Participants were randomly assigned to 1 of 3 conditions following a baseline assessment: a standard alcohol-focused brief motivational intervention plus relaxation training session (BMI + RT), BMI plus Substance-Free Activity Session (BMI + SFAS), or an assessment-only control condition (AO). In a secondary analysis of the data from this study, we used person-centered statistical techniques to describe trajectories of alcohol severity and environmental reward over a 16-month follow-up and examined whether environmental reward levels moderated the effectiveness of the interventions.

RESULTS

Piecewise growth mixture modeling identified 2 trajectories of reward availability: low increasing (LR; n = 120) and high stable (HR; n = 273). Depressive symptoms, cannabis use, sensation seeking, and low life satisfaction were associated with a greater probability of classification in the LR trajectory. Alcohol severity was greater in the LR trajectory than the HR trajectory. For students in the LR trajectory, at 1, 6, and 12 months, BMI + SFAS led to greater increases in reward availability and reduced levels of alcohol severity compared with the BMI + RT and AO conditions and at 16 months compared with AO.

CONCLUSIONS

Young adults with low levels of environmental reward are at heightened risk for greater alcohol severity and may show greater benefit from brief alcohol interventions that focus on increasing substance-free reward than individuals who are not deficient in reward availability.

Animal Models of Drug Relapse and Craving after Voluntary Abstinence: A Review

Relapse to drug use during abstinence is a defining feature of addiction. During the last several decades, this clinical scenario has been studied at the preclinical level using classic relapse/reinstatement models in which drug seeking is assessed after experimenter-imposed home-cage forced abstinence or extinction of the drug-reinforced responding in the self-administration chambers. To date, however, results from studies using rat relapse/reinstatement models have yet to result in Food and Drug Administration-approved medications for relapse prevention. The reasons for this state of affairs are complex and multifaceted, but one potential reason is that, in humans, abstinence is often self-imposed or voluntary and occurs either because the negative consequences of drug use outweigh the drug's rewarding effects or because of the availability of nondrug alternative rewards that are chosen over the drug. Based on these considerations, we and others have recently developed rat models of relapse after voluntary abstinence, achieved either by introducing adverse consequences to drug taking (punishment) or seeking (electric barrier) or by providing mutually exclusive choices between the self-administered drug and nondrug rewards (palatable food or social interaction). In this review, we provide an overview of these translationally relevant relapse models and discuss recent neuropharmacological findings from studies using these models. We also discuss sex as a biological variable, future directions, and clinical implications of results from relapse studies using voluntary abstinence models. Our main conclusion is that the neuropharmacological mechanisms controlling relapse to drug seeking after voluntary abstinence are often different from the mechanisms controlling relapse after home-cage forced abstinence or reinstatement after extinction. SIGNIFICANCE STATEMENT: This review describes recently developed rat models of relapse after voluntary abstinence, achieved either by introducing adverse consequences to drug taking or seeking or by providing mutually exclusive choices between the self-administered drug and nondrug rewards. This review discusses recent neuropharmacological findings from studies using these models and discusses future directions and clinical implications.

Psychometric evaluation of the Reward Probability Index in emerging adult 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. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Using greenspace and nature exposure as an adjunctive treatment for opioid and substance use disorders: Preliminary evidence and potential mechanisms

The demand for opioid medication to effectively treat pain has contributed to the surging opioid crisis, which is a major source of morbidity and mortality in the U.S. More than 100,000 people begin opioid maintenance treatment (OMT) annually, the standard pharmacotherapy for opioid use disorder (OUD). Although OMT is the standard care for OUD, patients often experience or develop a heightened sensitivity to pain (hyperalgesia) as a result of the opioid medication, and also have high rates of stress, affective, and anxiety-related conditions. These conditions are interactive with other behavioral and environmental correlates of opioid and other substance use disorders including impulsive decision-making (e.g., harmful opioid use associated with increased delay discounting), and a lack of alternative (i.e., substance-free) and social reinforcement. Collectively these complex and multifaceted factors constitute significant predictors of lack of adherence to OMT (and other pharmacotherapies) and relapse. There is an urgent need, therefore, to develop novel adjunctive treatments that preserve the benefits of OMT and various pharmacotherapies, and simultaneously diminish continued pain and hyperalgesia, reduce stress and anxiety-related conditions, target relevant behavioral mechanism such as impulsive choice, and also serve to enhance the value of alternative and substance free activities. Here, we discuss evidence that an environmental manipulation - access to greenspace and nature - could serve as a potential adjunctive treatment to standard pharmacotherapies by targeting multiple biological and behavioral mechanisms that standard pharmacotherapies do not address.

Leveraging applied behavior analysis research and practice in the service of public health

Human behavior plays a central role in all domains of public health. Applied behavior analysis (ABA) research and practice can contribute to public health solutions that directly address human behavior. In this paper, we describe the field of public health, identify points of interaction between public health and ABA, summarize what ABA research has already contributed, and provide several recommendations for how ABA research and practice could continue to promote public health outcomes. A clearer focus on behavior and widespread adoption of research designs and interventions informed by the ABA literature could lead to better public health outcomes. Reciprocally, better integration of public health goals and strategies into ABA research, harnessing of technology, and more collaboration would help diversify and disseminate our applied science and could yield more effective and scalable interventions to prevent and treat public health problems.

Identifying Patterns of Alcohol Use and Obesity-Related Factors Among Emerging Adults: A Behavioral Economic Analysis

BACKGROUND

Although heavy alcohol consumption and maladaptive eating behaviors have been shown to co-occur among college students, less is known about the co-occurrence of these behaviors in a more diverse community-dwelling, emerging adult sample. The purpose of this study was to: (i) identify classes of emerging adults by their reported alcohol consumption patterns, food addiction symptoms, and body mass index; and (ii) determine whether these classes differed on indices of behavioral economic reinforcer pathology (e.g., environmental reward deprivation, impulsivity, alcohol demand).

METHOD

Emerging adult participants were recruited as part of a study on risky alcohol use (n = 602; 47% white, 41.5% Black; mean age = 22.63, SD = 1.03). Participants completed questionnaires on alcohol and food-related risk factors and underwent anthropometric assessment.

RESULTS

Latent profile analysis suggested a four-profile solution: a moderate alcohol severity, overweight profile (Profile 1; n = 424, 70.4%), a moderate alcohol severity, moderate food addiction + obese profile (Profile 2; n = 93, 15.4%), a high alcohol severity, high food addiction + obese profile (Profile 3; n = 44, 7.3%), and a high alcohol severity, overweight profile (Profile 4; n = 41, 6.8%). Individuals in Profile 1 reported significantly lower levels of environmental reward deprivation than either Profile 2 or 3, and participants in Profile 3 reported significantly higher environmental reward deprivation than those in Profile 4 (p < 0.001). Profile 4 demonstrated significantly higher alcohol demand intensity and Omax and lower demand elasticity than Profile 1, Profile 2, or Profile 3. Profile 4 also demonstrated significantly greater proportionate substance-related reinforcement than Profile 1 (p < 0.001) and Profile 2 (p = 0.004).

CONCLUSION

Maladaptive eating patterns and alcohol consumption may share common risk factors for reinforcer pathology including environmental reward deprivation, impulsivity, and elevated alcohol demand.

A meta-analytic investigation of the role of reward on inhibitory control

Contemporary theories predict that inhibitory control (IC) can be improved when rewards are available for successfully inhibiting. In non-clinical samples empirical research has demonstrated some support; however, "null" findings have also been published. The aim of this meta-analysis was to clarify the magnitude of the effect of reward on IC and identify potential moderators. A total of 73 articles (contributing k = 80 studies) were identified from PubMed, PsycInfo, and Scopus, published between 1997 and 2020, using a systematic search strategy. A random effects meta-analysis was performed on effect sizes generated from IC tasks, which included rewarded and non-rewarded inhibition trials. Moderator analyses were conducted on clinical samples (vs "healthy controls"), task type (go/no-go vs stop signal vs Flanker vs Simon vs Stroop vs Anti-saccade), reward type (monetary vs points vs other), and age (adults vs children). The prospect of reward for successful inhibition significantly improved IC (SMD = 0.429, 95% CI = 0.288, 0.570, I² = 96.7%) compared with no reward conditions/groups. This finding was robust against influential cases and outliers. The significant effect was present across all IC tasks. There was no evidence of the effect moderated by type of reward, age, or clinical samples. Moderator analyses did not resolve the considerable heterogeneity. The findings suggest that IC is a transient state that fluctuates in response to motivations driven by reward. Future research might examine the potential of improving IC through rewards as a behavioural intervention.

Associative processes in addiction relapse models: A review of their Pavlovian and instrumental mechanisms, history, and terminology

Animal models of relapse to drug-seeking have borrowed heavily from associative learning approaches. In studies of relapse-like behaviour, animals learn to self-administer drugs then receive a period of extinction during which they learn to inhibit the operant response. Several triggers can produce a recovery of responding which form the basis of a variety of models. These include the passage of time (spontaneous recovery), drug availability (rapid reacquisition), extinction of an alternative response (resurgence), context change (renewal), drug priming, stress, and cues (reinstatement). In most cases, the behavioural processes driving extinction and recovery in operant drug self-administration studies are similar to those in the Pavlovian and behavioural literature, such as context effects. However, reinstatement in addiction studies have several differences with Pavlovian reinstatement, which have emerged over several decades, in experimental procedures, associative mechanisms, and terminology. Interestingly, in cue-induced reinstatement, drug-paired cues that are present during acquisition are omitted during lever extinction. The unextinguished drug-paired cue may limit the model’s translational relevance to cue exposure therapy and renders its underlying associative mechanisms ambiguous. We review major behavioural theories that explain recovery phenomena, with a particular focus on cue-induced reinstatement because it is a widely used model in addiction. We argue that cue-induced reinstatement may be explained by a combination of behavioural processes, including reacquisition of conditioned reinforcement and Pavlovian to Instrumental Transfer. While there are important differences between addiction studies and the behavioural literature in terminology and procedures, it is clear that understanding associative learning processes is essential for studying relapse.

The importance of psychology for shaping legal cannabis regulation

Different patterns of cannabis use can be traced directly back to different interactions between 2 types of variables: pharmacological and environmental. As legal cannabis expands in the U.S. and around the world, state and national regulatory agencies are gaining control over these variables. Specifically, regulatory agencies are increasingly capable of altering (a) the pharmacological properties of cannabis products and (b) the way these products are distributed to the population. Consequently, cannabis regulatory agencies are in a unique position to use evidence from psychological science to alter cannabis consumption patterns in ways that mitigate potential harm to public health. However, most state-level legal cannabis regulatory systems in the U.S. are not yet evidence-based or public health-oriented. This applied review and commentary draws on evidence from the psychological science literature to help regulators better understand the types of behaviors they must address and guide empirically supported regulation of THC-laden cannabis, whether used putatively for medical or recreational reasons. This review is organized into 3 parts that correspond to the 3 primary agents within the cannabis regulation ecosystem: (a) the cannabis consumer, (b) the cannabis industry, and (c) the cannabis regulatory agency. Within this structure, the review addresses critical psychological variables that drive cannabis consumer and industry behaviors and discusses how regulatory agencies can use this information to protect public health. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Integration of motivational interviewing and behavioral economic theories to enhance brief alcohol interventions: Rationale and preliminary examination of client language

Motivational interviewing (MI) is a widely disseminated evidence-based therapeutic approach for engaging clients and motivating health behavior change, especially risky substance use. Refinement of MI theory over the past few decades has provided empirical evidence that the technical component of MI (in-session client language) is a promising mechanism of behavior change (MOBC). However, heterogeneous and small to moderate effect sizes suggest the need for refinement of MOBC measurement and consideration of other types of client language. The current article presents a complementary integration of current MI theory and behavioral economic (BE) mechanisms to further understanding of in-session factors associated with subsequent behavior change. In this paper, we define some of the key MOBCs from MI and BE theories, describe our integrated framework, and present preliminary findings from a pilot study of the effectiveness and MOBCs of a novel BE-informed application of MI in risky college student drinkers. Results from preliminary coding development suggest that BE-informed measures of client language better predict response to a brief intervention in risky college students than traditional change talk measures. We posit that BE theory can offer insight into meaningful session content beyond the current MI constructs of change talk and sustain talk, which in turn may serve to enhance development of clinical practice and inform scientific investigations. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Remifentanil-food choice follows predictions of relative subjective value

BACKGROUND

Preclinical studies into drug vs. nondrug choice have emerged to better model and investigate the neurobehavioral mechanisms underlying drug preference. Current literature has suggested that drugs of abuse have inherently low value, thus promoting food preference. Herein, we examined remifentanil vs. food choice to test both the relative value hypothesis and the 'direct effects' (pharmacological effects of drugs on alternative reinforcers) hypothesis of opioid preference.

METHODS

Adult male rats were trained under two choice procedures (controlled vs. uncontrolled reinforcer frequency) for remifentanil vs. food choice. Furthermore, a series of procedural manipulations known to affect drug reinforcement were tested under both choice procedures. Using remifentanil self-administration data, pharmacokinetic profiles were calculated and analyzed to determine if opioid intake was related to opioid preference.

RESULTS

Both choice procedures produced dose-dependent preference. Moreover, procedural manipulations produced comparable changes in remifentanil preference under both choice procedures. In addition, calculated pharmacokinetic data revealed that preference was dissociable from intake under the controlled reinforcer frequency choice procedure.

CONCLUSIONS

When compared to the 'direct effects' hypothesis, remifentanil preference was better predicted by the relative value hypothesis, formalized in generalized matching. Use of a controlled reinforcer frequency schedule successfully removed the drug preference-intake confound found in most drug-choice procedures. Importantly, drug preference under the controlled reinforcer frequency schedule remained sensitive to procedural manipulations known to affect drug reinforcement. Thus, given that differential drug intake itself affects neurobiological measurements, future use of controlled reinforcer frequency schedules may help to better isolate the neurobehavioral mechanisms that mediate opioid preference.

The Association between Reward Sensitivity and Activity Engagement: the Influence of Delay Discounting and Anhedonia

Aim

Reward sensitivity affects individuals’ motivation to engage in goal-directed behavior. Other concepts, critical for reward appraisal, that potentially influence activity participation encompass delay discounting and anhedonia. The aim of this study was to test the hypothesis that anhedonia and delay discounting influence the relationship between reward sensitivity and activity engagement.

Methods

In total, 37 inpatient patients with an alcohol use disorder (AUD) and 37 matched healthy controls completed the behavioral activation system scale (BAS scale), the Pleasant Activities List (PAL), the Snaith–Hamilton Pleasure Scale (SHAPS) and the Delay Discounting Task (DDT).

Results

Patients differed from controls on SHAPS, DDT-k, PAL substance-related activities (SRA), but not BAS and PAL non-substance-related activities (non-SRA). Correlational analyses revealed a strong correlation between BAS and PAL non-SRA in both patients (r = 0.53) and controls (r = 0.47), but also with PAL-SRA in patients (r = 0.40), although not controls (r = 0.09). BAS was negatively correlated with SHAPS in both groups and with DDT in controls. SHAPS was negatively linked to PAL non-SRA in both groups. The BAS-PAL non-SRA relationship was influenced by discount rates in controls.

Conclusion

A strong link exists between reward sensitivity and engagement in non-SRA in both groups. Delay discounting affects the reward sensitivity and non-SRA association in healthy controls, while anhedonia did not impact the association between reward sensitivity and engagement in (non-)SRA in both conditions.

Improving translation of animal models of addiction and relapse by reverse translation

Critical features of human addiction are increasingly being incorporated into complementary animal models, including escalation of drug intake, punished drug seeking and taking, intermittent drug access, choice between drug and non-drug rewards, and assessment of individual differences based on criteria in the fourth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV). Combined with new technologies, these models advanced our understanding of brain mechanisms of drug self-administration and relapse, but these mechanistic gains have not led to improvements in addiction treatment. This problem is not unique to addiction neuroscience, but it is an increasing source of disappointment and calls to regroup. Here we first summarize behavioural and neurobiological results from the animal models mentioned above. We then propose a reverse translational approach, whose goal is to develop models that mimic successful treatments: opioid agonist maintenance, contingency management and the community-reinforcement approach. These reverse-translated 'treatments' may provide an ecologically relevant platform from which to discover new circuits, test new medications and improve translation.

Computational models of drug use and addiction: A review

In this brief review, we describe current computational models of drug-use and addiction that fall into 2 broad categories: mathematically based models that rely on computational theories, and brain-based models that link computations to brain areas or circuits. Across categories, many are models of learning and decision-making, which may be compromised in addiction. Several mathematical models take predictive coding approaches, focusing on Bayesian prediction error. Other models focus on learning processes and (traditional) prediction error. Brain-based models have incorporated prefrontal cortex, basal ganglia, and the dopamine system, based on the effects of drugs on dopamine, motivation, and executive control circuits. Several models specifically describe how behavioral control may transition from habitual to goal-directed systems, consistent with computational accounts of compromised "model-based" control. Some brain-based models have linked this to the transition of behavioral control from ventral to dorsal striatum. Overall, we propose that while computational models capture some aspects of addiction and have advanced our thinking, most have focused on the effects of drug use rather than addiction per se, most have not been tested on and/or supported by human data, and few capture multiple stages and symptoms of addiction. We conclude by suggesting a path forward for computational models of addiction. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

The transition to compulsion in addiction

Compulsion is a cardinal symptom of drug addiction (severe substance use disorder). However, compulsion is observed in only a small proportion of individuals who repeatedly seek and use addictive substances. Here, we integrate accounts of the neuropharmacological mechanisms that underlie the transition to compulsion with overarching learning theories, to outline how compulsion develops in addiction. Importantly, we emphasize the conceptual distinctions between compulsive drug-seeking behaviour and compulsive drug-taking behaviour (that is, use). In the latter, an individual cannot stop using a drug despite major negative consequences, possibly reflecting an imbalance in frontostriatal circuits that encode reward and aversion. By contrast, an individual may compulsively seek drugs (that is, persist in seeking drugs despite the negative consequences of doing so) when the neural systems that underlie habitual behaviour dominate goal-directed behavioural systems, and when executive control over this maladaptive behaviour is diminished. This distinction between different aspects of addiction may help to identify its neural substrates and new treatment strategies.

Pilot trial investigating a brief behavioral economic intervention as an adjunctive treatment for alcohol use disorder

OBJECTIVE

Behavioral economic research suggests that increasing the salience of a delayed reward may improve capacity for delaying gratification and increase behavior allocated toward obtaining larger, delayed substance-free reward rather than smaller, more immediate reward such as alcohol use. This study aimed to improve the efficacy of outpatient alcohol use disorder (AUD) treatment by adding elements that target behavioral economic mechanisms of change.

METHOD

Forty-one (N = 41) adults in outpatient AUD treatment were recruited and 37 participants were retained at follow-up. Following baseline assessment, participants received either the Substance Free Activity Session (SFAS), a single-session behavioral economic-informed intervention focused on increasing future orientation and engagement in values-based substance-free activities or a health education control intervention. Participants in both conditions received weekly prompts (via text or email) relevant to their respective intervention for four weeks. Participants (68.3% male; 70.7% Caucasian, M age = 38.24, SD = 12.69) reported an average of 3.95 (SD = 4.72) binge drinking episodes (4/5 drinks per occasion for a woman/man) and 5.05 (SD = 5.32) drinks per drinking day 30-days prior to treatment entry.

RESULTS

The study provided initial support for the feasibility and acceptability of implementing the SFAS within a treatment setting. Participants reported high levels of satisfaction with the SFAS (M = 9.08 (SD = 0.94), on a scale of 1-10). At 3-month follow-up, the SFAS was associated with reductions in the proportion of activity participation and enjoyment (reinforcement) related to substance-use relative to substance-free activities and in alcohol demand compared to control.

CONCLUSION

These preliminary results provide initial support for targeting behavioral economic mechanisms of change in an outpatient AUD treatment with a single-session intervention plus remote delivery of booster prompts.

Addiction is socially engineered exploitation of natural biological vulnerability

Interdisciplinary study of addiction is facilitated by relative unification of the concept. What should be sought is not formal unification through literal analytic definition, which would undermine practical flexibility within disciplines and intervention practices. However, leading controversies around whether addiction should be conceived as a 'disease', and over whether addiction is 'chosen' behavior, are made more difficult to resolve by failure to apply philosophical reflection on these general concepts. Such reflection should be sensitive to two kinds of constraint: coherence in description of empirical, including neuroscientific, observation, and utility in framing normative goals in treatment and policy design. Following review of various interpretations of addiction, disease, and choice across contributing disciplines, it is concluded that addiction is most plausibly viewed as a disease at the scale of public health research and policy, but not personal (e.g. clinical) management and intervention. Addicts must make choices to recover, and in that respect addiction is a 'disorder of choice'. However, it is concluded that the most relevant sense of 'disorder' arises at the social rather than the personal scale.

Interventions to Reduce Drug Use Among Methamphetamine Users at Risk for HIV

PURPOSE OF REVIEW

This paper reports on the results of a study comparing two behavioral treatments for methamphetamine users. The outcome was the effectiveness of the interventions in reducing meth use. The interventions were contingency management (CM) and contingency management plus strengths-based case management (CM/SBCM).

RECENT FINDINGS

CM/SBCM was found to be associated with attending more sessions for people who reported being in a couple. Also, participants who earned more money in the first part of the study were more likely to have more clean urinalysis in the second part of the study. Latent class analysis identified a class of participants who were in a couple, without sexual abuse history, and less meth use at baseline. This class tended to have more clean urinalysis in the CM/SBCM intervention. These results indicate that incentive-based interventions with case management may be useful for helping meth users reduce their drug use.

Inhibitory-control training for cocaine use disorder and contingency management for clinic attendance: A randomized pilot study of feasibility, acceptability and initial efficacy

BACKGROUND

Cocaine abusers have impaired inhibitory Cocaine use is associated with impaired inhibitory control. This study determined the feasibility, acceptability, and initial efficacy of inhibitory-control training to cocaine or neutral images in cocaine use disorder patients.

METHODS

Participants were randomly assigned to inhibitory-control training to cocaine (N = 20) or neutral (N = 20) images. Feasibility was assessed by percent of patients eligible for participation after a behavioral qualification session, time-to-target enrollment, percent of clinic visits attended, percent of participants who completed 80 % or more training sessions, and percent of follow-up visits attended. Acceptability was determined using a Treatment Acceptability Questionnaire. Initial efficacy was determined during training and a follow-up phase with urine samples tested qualitatively and quantitatively for cocaine. Participants in both conditions received monetary incentives delivered on an escalating schedule for clinic attendance.

RESULTS

The groups were well matched and no differences on demographic or substance use variables were observed. Attendance was stable during the treatment period with high overall attendance in both groups (average sessions attended: cocaine image group = 97 %; neutral image group = 90 %). No group differences were observed in the percentage of follow-up sessions attended (95 % for the cocaine-image group; 88 % of neutral-image group). Ratings on the Treatment Acceptability Questionnaire were high (i.e., mean scores ≥ 80 for all items rated on 101-unit visual analog scales). Participants in the cocaine- and neutral-image conditions did not differ significantly in terms of cocaine use during the training nor follow-up phase. Inhibitory-control training improved stop signal performance but not delay discounting.

CONCLUSION

The procedures were feasible and acceptable. Inhibitory-control training to cocaine images did not reduce cocaine use relative to the neutral image training condition. The inability to detect significant differences in cocaine use across the groups is not surprising given the small sample size. More research is needed to determine the utility of inhibitory-control training for cocaine use disorder. Future trials should determine whether inhibitory-control training to cocaine images augments the efficacy of other behavioral interventions.

Contingency Management: Using Incentives to Improve Outcomes for Adolescent Substance Use Disorders

Multiple interventions for treating adolescents with substance use disorders have demonstrated efficacy, but most teens do not show an enduring positive response to these treatments. Contingency management (CM)-based strategies provide a promising alternative, and clinical research focused on the development and testing of innovative CM models continues to grow. This article provides information on the principles that underlie CM interventions, key metrics that define their development and implementation, a brief review of studies that have tested these approaches, and some clinical CM tools. As with other interventions to help youth with substance use problems, there is much to learn about CM approaches.

Operant Social Reward Decreases Incubation of Heroin Craving in Male and Female Rats

BACKGROUND

We recently reported that operant social choice-induced voluntary abstinence prevents incubation of methamphetamine craving. Here, we determined whether social choice-induced voluntary abstinence would prevent incubation of heroin craving. We also introduce a fully automatic social reward self-administration model that eliminates the intense workload and rat-human interaction of the original semiautomatic model.

METHODS

In experiment 1, we trained male and female rats for social self-administration (6 days) and then for heroin self-administration (12 days). Next, we assessed relapse to heroin seeking after 1 and 15 abstinence days. Between tests, the rats underwent either forced or social choice-induced abstinence. In experiment 2, we developed a fully automatic social self-administration procedure by introducing a screen between the self-administration chamber and the social-peer chamber; the screen allows physical contact but prevents rats from crossing chambers. Next, we compared incubation of craving in rats with a history of standard (no-screen) or automatic (screen) social self-administration and social choice-induced abstinence.

RESULTS

The time-dependent increase in heroin seeking after cessation of drug self-administration (incubation of craving) was lower after social choice-induced abstinence than after forced abstinence. There were no differences in social self-administration, social choice-induced abstinence, and incubation of craving in rats trained in the standard semiautomatic procedure versus the novel fully automatic procedure.

CONCLUSIONS

Our study demonstrates the protective effect of rewarding social interaction on heroin self-administration and incubation of heroin craving and introduces a fully automatic social self-administration and choice procedure to investigate the role of volitional social interaction in drug addiction and other psychiatric disorders.