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一种针对成瘾的情境化强化物病理学方法。

A contextualized reinforcer pathology approach to addiction.

作者信息

Acuff Samuel F, MacKillop James, Murphy James G

机构信息

Alpert Medical School, Brown University, Providence, RI USA.

Peter Boris Centre for Addictions Research, Department of Psychiatry and Behavioural Neurosciences, McMaster University/St Joseph's Healthcare Hamilton, Hamilton, Ontario Canada.

出版信息

Nat Rev Psychol. 2023;2(5):309-323. doi: 10.1038/s44159-023-00167-y. Epub 2023 Mar 21.

Abstract

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.

摘要

成瘾的行为经济学解释将有害药物使用概念化为一种操作性强化物病理学,强调药物的使用是因为相对于更大的延迟奖励,较小的即时奖励被过度重视(延迟折扣)以及药物具有高强化价值(药物需求)。这些动机过程是个体行为的决定因素。学习理论的第三个要素认为,有害药物使用取决于在选择情境中获取其他可用活动和商品(替代强化物)的相对限制,这反映了环境因素的重大影响。在本观点中,我们将替代强化物纳入有害药物使用的当代行为经济学解释——情境化强化物病理学模型,并回顾跨转化领域的实证文献以支持该模型。此外,我们思考如何通过情境化强化物病理学模型来理解并可能改善成瘾中与药物相关的死亡率上升和健康差距问题,在该模型中,缺乏替代强化是成瘾的一个主要风险因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d8d/10028332/40f00206bb30/44159_2023_167_Fig1_HTML.jpg

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