ArticlePsychopharmacology2021
Quantifying value-based determinants of drug and non-drug decision dynamics.
Article in Psychopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 8 citations in OpenAlex.
- Behavioral economic analysis of topiramate pharmacotherapy for alcohol: a placebo-controlled investigation of effects on alcohol reinforcing value and delayed reward discounting.Psychopharmacology · 2022Trial
- Dissociation of decision-making from escalated drug intake within a long-access model.Behavioural brain research · 2026Article
- Neurobehavioral differences in value-based decision making between people with cocaine use disorder and controls.Experimental and clinical psychopharmacology · 2026Article
- Enhancing translation: A need to leverage complex preclinical models of addictive drugs to accelerate substance use treatment options.Pharmacology, biochemistry, and behavior · 2024Review
- A dose-ranging study of the physiological and self-reported effects of repeated, rapid infusion of remifentanil in people with opioid use disorder and physical dependence on fentanyl.Psychopharmacology · 2024Article
- Cocaine and heroin interact differently with nondrug reinforcers in a choice situation.Experimental and clinical psychopharmacology · 2024Article
- Valuation of future alcohol in cross-commodity delay discounting is associated with alcohol misuse/consequences.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023Article
- Demand and cross-price elasticity of cocaine and social contact in a free-operant procedure of nonexclusive choice.Pharmacology, biochemistry, and behavior · 2023Article
- Commentary on Motschman et al.: Moving behavioral economic demand into the real world means moving beyond single schedules of reinforcement.Addiction (Abingdon, England) · 2022Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
rationaleA growing body of research suggests that substance use disorder (SUD) may be characterized as disorders of decision making. However, drug choice studies assessing drug-associated decision making often lack more complex and dynamic conditions that better approximate contexts outside the laboratory and may lead to incomplete conclusions regarding the nature of drug-associated value.
objectivesThe current study assessed isomorphic (choice between identical food options) and allomorphic (choice between remifentanil [REMI] and food) choice across dynamically changing reward probabilities, magnitudes, and differentially reward-predictive stimuli in male rats to better understand determinants of drug value. Choice data were analyzed at aggregate and choice-by-choice levels using quantitative matching and reinforcement learning (RL) models, respectively.
resultsReductions in reward probability or magnitude independently reduced preferences for food and REMI commodities. Inclusion of reward-predictive cues significantly increased preference for food and REMI rewards. Model comparisons revealed that reward-predictive stimuli significantly altered the economic substitutability of food and REMI rewards at both levels of analysis. Furthermore, model comparisons supported the reformulation of reward value updating in RL models from independent terms to a shared, relative term, more akin to matching models.
conclusionsThe results indicate that value-based quantitative choice models can accurately capture choice determinants within complex decision-making contexts and corroborate drug choice as a multidimensional valuation process. Collectively, the present study indicates commonalities in decision-making for drug and non-drug rewards, validates the use of economic-based SUD therapies (e.g., contingency management), and implicates the neurobehavioral processes underlying drug-associated decision-making as a potential avenue for future SUD treatment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.