Evidence map›Paper›PMID 42560884›Full record

ArticleExperimental and clinical psychopharmacology2026

Further adaptation of cross-commodity purchase task methodology: The impact of preference rank on demand.

Sarah C Weinsztok, Derek D Reed, Michael Amlung

Abstract read
In one paragraph

Article in Experimental and clinical psychopharmacology, 2026. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Sarah C WeinsztokGraduate School of Applied and Professional Psychology, Rutgers, The State University of New Jersey.ORCID 0000-0002-2244-9955
Derek D ReedInstitutes for Behavior Resources.
Michael AmlungDepartment of Applied Behavioral Science, Cofrin Logan Center for Addiction Research and Treatment, University of Kansas.ORCID 0000-0003-4483-7155

Funding

NRSA Training CoreTL1TR002368 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Jennifer Lynn Goldman, NICOLE L NOLLEN · 2017 to 2026
$4.0M
Cofrin Logan Center for Addiction Research and TreatmentNational Institutes of Health; National Center for Advancing Translational SciencesNCATS NIH HHS TL1 TR002368
6 · The paper itself

Abstract

A behavioral economic framework of alcohol use posits that alcohol use is a temporally extended pattern of behavior and occurs in contexts in which other response options are available. Hypothetical purchase tasks are based in behavioral economic theory and allow for researchers to pinpoint demand for commodities. An extension of purchase task methodology, cross-commodity tasks examine demand for a substance when two or more commodities are concurrently available. Recent research has extended these tasks to examine the impact of competing activities on alcohol demand. The present study extends this work by examining the extent to which rank-order preference for alternative activities would differentially impact demand for alcohol and serve as substitutes. Participants were crowdsourced via Prolific and completed a rank-order assessment of preference of activities and hobbies, an alcohol purchase task, and measures of suitability and rewarding value of alcohol-related activities. They responded to three separate cross-commodity tasks in which the highest, second-highest, or lowest preferred activity was presented at fixed low cost, while the price of alcohol increased. Results indicated that though rank preference did not impact substitutability of activities for alcohol, demand for alcohol was greater suppressed in the presence of high-preferred than low-preferred activities. Additionally, reported consumption of activities was greatest when the activities were highly preferred. Taken collectively, results highlight the utility of purchase task methodology and demand curve analyses in identifying alternative activities and the need for continued research exploring the functional reinforcing components of alternative activities to incorporate in interventions for hazardous alcohol use. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

Identifiers

PMID42560884
PMCPMC13449185

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Registered trials

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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.