Value, drug addiction and the brain.


Journal

Addictive behaviors
ISSN: 1873-6327
Titre abrégé: Addict Behav
Pays: England
ID NLM: 7603486

Informations de publication

Date de publication:
05 2021
Historique:
received: 02 06 2020
revised: 17 11 2020
accepted: 02 01 2021
pubmed: 17 1 2021
medline: 15 5 2021
entrez: 16 1 2021
Statut: ppublish

Résumé

Over the years, various models have been proposed to explain the psychology and biology of drug addiction, built primarily around the habit and compulsion models. Recent research indicates drug addiction may be goal-directed, motivated by excessive valuation of drugs. Drug consumption may initially occur for the sake of pleasure but may transition to a means of escaping withdrawal, stress and negative emotions. In this hypothetical paper, we propose a value-based neurobiological model for drug addiction. We posit that during dependency, the value-based decision-making system in the brain is not inactive but has instead prioritized drugs as the reward of choice. In support of this model, we consider the role of valuation in choice, its influence on pleasure and punishment, and how valuation is contrasted in impulsive and compulsive behaviours. We then discuss the neurobiology of value, beginning with the dopaminergic system and its relationship with incentive salience before moving to brain-wide networks involved in valuation, control and prospection. These value-based neurobiological components are then integrated into the cycle of addiction as we consider the development of drug dependency from a valuation perspective. We conclude with a discussion of cognitive interventions utilizing value-based decision-making, highlighting not just advances in recalibrating the valuation system to focus on non-drug rewards, but also areas for improvement in refining this approach.

Identifiants

pubmed: 33453587
pii: S0306-4603(21)00001-0
doi: 10.1016/j.addbeh.2021.106816
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

106816

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Kavinash Loganathan (K)

Centre for Intelligent Signal & Imaging, Universiti Teknologi PETRONAS, Perak, Malaysia. Electronic address: kavinash@gmail.com.

Eric Tatt Wei Ho (ETW)

Centre for Intelligent Signal & Imaging, Universiti Teknologi PETRONAS, Perak, Malaysia; Dept of Electrical & Electronics Engineering, Universiti Teknologi PETRONAS, Perak, Malaysia.

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Classifications MeSH