Literature DB >> 32105136

Behavioral economic demand as a unifying language for addiction science: Promoting collaboration and integration of animal and human models.

Justin C Strickland1, Ryan T Lacy2.   

Abstract

The intersection of pharmacological, psychological, and economic theory within behavioral economics has helped advance an understanding of substance use disorder. A notable contribution of this approach is the conceptualization of reinforcement from a behavioral economic demand perspective. Demand analyses provide a multidimensional view of reinforcement in which distinct behavioral mechanisms are measured that impact decision making and drug consumption. This review describes the state of research on behavioral economic demand as a common language for addiction science researchers across varied model systems and stages of a translational continuum. We first provide an overview of the theoretical concepts and procedures used to evaluate demand in animal and human models. The potential for demand to serve as a common language for diverse research groups in psychopharmacology and addiction science (e.g., those evaluating neurobehavioral outcomes, medications development, clinical practice) is then described. An overview is also provided of existing empirical studies that, while small in number, suggest good linguistic and conceptual overlap between animal and human demand models when studying biological, environmental, and pharmacological individual difference vulnerabilities underlying drug-taking behavior. Refinement of methodological procedures and incorporation of more nuanced environmental features should help improve correspondence between animal and human demand studies as well as clinical translation of such findings. Our hope is that this review and commentary ultimately serves as inspiration for new collaborative efforts involving behavioral economic demand between animal and human researchers who share a common goal of improving substance use treatment outcomes and broader psychological wellbeing. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

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Year:  2020        PMID: 32105136      PMCID: PMC7390687          DOI: 10.1037/pha0000358

Source DB:  PubMed          Journal:  Exp Clin Psychopharmacol        ISSN: 1064-1297            Impact factor:   3.157


  128 in total

1.  Effects of varying the "openness" of an economy on responding for cigarettes.

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Journal:  Behav Pharmacol       Date:  1994-04       Impact factor: 2.293

Review 2.  The behavioral economics of drug dependence: towards the consilience of economics and behavioral neuroscience.

Authors:  Warren K Bickel; Richard Yi; E Terry Mueller; Bryan A Jones; Darren R Christensen
Journal:  Curr Top Behav Neurosci       Date:  2010

3.  Economic demand and essential value.

Authors:  Steven R Hursh; Alan Silberberg
Journal:  Psychol Rev       Date:  2008-01       Impact factor: 8.934

4.  A two-part mixed effects model for cigarette purchase task data.

Authors:  Tingting Zhao; Xianghua Luo; Haitao Chu; Chap T Le; Leonard H Epstein; Janet L Thomas
Journal:  J Exp Anal Behav       Date:  2016-11       Impact factor: 2.468

5.  Influence of phendimetrazine maintenance on the reinforcing, subjective, performance, and physiological effects of intranasal cocaine.

Authors:  William W Stoops; Justin C Strickland; Joseph L Alcorn; Lon R Hays; Abner O Rayapati; Joshua A Lile; Craig R Rush
Journal:  Psychopharmacology (Berl)       Date:  2019-03-21       Impact factor: 4.530

6.  The neuroeconomics of alcohol demand: an initial investigation of the neural correlates of alcohol cost-benefit decision making in heavy drinking men.

Authors:  James MacKillop; Michael T Amlung; John Acker; Joshua C Gray; Courtney L Brown; James G Murphy; Lara A Ray; Lawrence H Sweet
Journal:  Neuropsychopharmacology       Date:  2014-03-03       Impact factor: 7.853

7.  Inhibiting subthalamic nucleus decreases cocaine demand and relapse: therapeutic potential.

Authors:  Brandon S Bentzley; Gary Aston-Jones
Journal:  Addict Biol       Date:  2016-03-03       Impact factor: 4.280

Review 8.  The effect of economy type on reinforcer value.

Authors:  David N Kearns
Journal:  Behav Processes       Date:  2019-01-24       Impact factor: 1.777

9.  Effects of concurrent saccharin availability and buprenorphine pretreatment on demand for smoked cocaine base in rhesus monkeys.

Authors:  S D Comer; V R Hunt; M E Carroll
Journal:  Psychopharmacology (Berl)       Date:  1994-06       Impact factor: 4.530

10.  The influence of sex and estrous cyclicity on cocaine and remifentanil demand in rats.

Authors:  Ryan T Lacy; Bridget P Austin; Justin C Strickland
Journal:  Addict Biol       Date:  2019-02-19       Impact factor: 4.280

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  6 in total

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Authors:  Kimberly Goodyear; Robert Miranda; James MacKillop
Journal:  Psychopharmacology (Berl)       Date:  2022-01-04       Impact factor: 4.530

2.  Applying Mixed-Effects Modeling to Behavioral Economic Demand: An Introduction.

Authors:  Brent A Kaplan; Christopher T Franck; Kevin McKee; Shawn P Gilroy; Mikhail N Koffarnus
Journal:  Perspect Behav Sci       Date:  2021-07-21

3.  Logical fallacies and misinterpretations that hinder progress in translational addiction neuroscience.

Authors:  Justin C Strickland; William W Stoops; Matthew L Banks; Cassandra D Gipson
Journal:  J Exp Anal Behav       Date:  2022-04-01       Impact factor: 2.215

4.  Reinforcing and Stimulant-Like Effects of Methamphetamine Isomers in Rhesus Macaques.

Authors:  David S Jacobs; Bruce E Blough; Stephen J Kohut
Journal:  J Pharmacol Exp Ther       Date:  2021-05-13       Impact factor: 4.402

5.  (Non-) impact of task experience on behavioral economic decision-making.

Authors:  Justin C Strickland; B Levi Bolin; Katherine R Marks
Journal:  Exp Clin Psychopharmacol       Date:  2021-02-22       Impact factor: 3.492

6.  Behavioral economic methods to inform infectious disease response: Prevention, testing, and vaccination in the COVID-19 pandemic.

Authors:  Justin C Strickland; Derek D Reed; Steven R Hursh; Lindsay P Schwartz; Rachel N S Foster; Brett W Gelino; Robert S LeComte; Fernanda S Oda; Allyson R Salzer; Tadd D Schneider; Lauren Dayton; Carl Latkin; Matthew W Johnson
Journal:  PLoS One       Date:  2022-01-19       Impact factor: 3.240

  6 in total

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