Evidence map›Paper›PMID 41278549›Full record

ArticleAddictive behaviors reports2025

Association of behavioral economic demand for kratom with DSM-5 use disorder: quantity and likelihood-based demand approaches.

Zachary Pierce-Messick, Kirsten E Smith, Samuel F Acuff, Derek D Reed, David H Epstein, Justin C Strickland

Abstract read
In one paragraph

Article in Addictive behaviors reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zachary Pierce-MessickDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Kirsten E SmithDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Samuel F AcuffRecovery Research Institute, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
Derek D ReedReal-World Assessment, Prediction, and Treatment Unit, National Institute on Drug Abuse Intramural Research Program, Baltimore, MD, United States.
David H EpsteinInstitutes for Behavior Resources, Inc, Baltimore, MD, United States.
Justin C StricklandDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Kratom products have increased in popularity in the United States due to their availability and their purported analgesic and stimulatory properties. We sought to examine if behavioral economic demand procedures widely used in addiction science would identify indicators of problematic kratom use and to evaluate the relative performance of differing demand approaches. Methods: Respondents with a lifetime history of kratom use (N = 117) completed two versions of a hypothetical kratom purchase task. The first version ("Quantity") followed typical purchase task methods; respondents were asked how much kratom they would purchase across various prices. The second version ("Likelihood") asked how likely respondents would be to purchase a single dose of kratom across the same price range. Logistic regression was used to determine the association of demand indices with the likelihood of meeting KUD criteria. Results: For the Quantity version, higher demand intensity (OR = 2.16, Conclusions: This study is the first to demonstrate that purchase tasks can quantify the reinforcing efficacy of kratom and emphasizes the temporal specificity of the association between purchase tasks and problem behaviors. These findings also suggest that demand indices from Quantity- and Likelihood-based tasks differentially relate to KUD, emphasizing the importance of task and outcome selection.

Indexed as

Behavioral economicsDemandKratomKratom use disorderPurchase task

Identifiers

PMID41278549
PMCPMC12636289

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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.