Evidence map›Paper›PMID 40982440›Full record

Trial reportAlcohol and alcoholism (Oxford, Oxfordshire)2025

Examining the effects of varenicline and naltrexone on delay discounting among individuals with alcohol use disorder.

Steven J Nieto, James MacKillop, Wave-Ananda Baskerville, Annabel Kady, Alicia Izquierdo, Lara A Ray

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Alcohol and alcoholism (Oxford, Oxfordshire), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

6 authors.

Steven J NietoDepartment of Psychology, University of California at Los Angeles, 1285 Franz Hall, Los Angeles, CA 90095, United States.ORCID 0000-0003-1158-5211
James MacKillopDepartment of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, 3901 Chrysler Service Drive, Detroit, MI 48201, United States.ORCID 0000-0002-8695-1071
Wave-Ananda BaskervilleDepartment of Psychology, University of California at Los Angeles, 1285 Franz Hall, Los Angeles, CA 90095, United States.
Annabel KadyDepartment of Psychology, University of California at Los Angeles, 1285 Franz Hall, Los Angeles, CA 90095, United States.
Alicia IzquierdoDepartment of Psychology, University of California at Los Angeles, 1285 Franz Hall, Los Angeles, CA 90095, United States.ORCID 0000-0001-9897-2091
Lara A RayDepartment of Psychology, University of California at Los Angeles, 1285 Franz Hall, Los Angeles, CA 90095, United States.ORCID 0000-0002-5734-9444

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
The Center for Health Improvement of Minority ElderlyP30AG021684 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Homero Erwin del Pino · 2002 to 2026
$19.7M
Clinical Neuroscience of Alcoholism: Integrating Neuroscience and Clinical TrialsK24AA025704 · NIAAA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LARA A. RAY · 2018 to 2026
$1.3M
Applying behavioral economics to screen medications for alcohol use disorderF32AA029288 · NIAAA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NIETO, STEVEN J · 2021 to 2022
$115k
NCATS NIH HHS UL1 TR001881NCATS NIH HHS #UL1TR001881NIAAA NIH HHS F32 AA029288NIAAA NIH HHS F32AA029288NIAAA NIH HHS K24 AA025704NIAAA NIH HHS K24AA025704NIAAA NIH HHS R21AA02718NIA NIH HHS P30 AG021684UCLA RCMAR/CHIME NIA P30-AG021684
6 · The paper itself

Abstract

aimsIndividuals with alcohol use disorder (AUD) often exhibit heightened delay discounting, a behavioral marker associated with poor treatment outcomes. Medications such as naltrexone and varenicline influence reward-related decision-making, but their effects on delay discounting remain unclear. This study examined whether these medications influence delay discounting rates.

methodsWe conducted a double-blind, randomized, placebo-controlled trial in 34 treatment-seeking adults with AUD. Participants were assigned to naltrexone (50 mg/day), varenicline (2 mg/day), or placebo and completed a two-week medication titration followed by a six-day quit attempt. Delay discounting was assessed at baseline and post-treatment using the Monetary Choice Questionnaire (MCQ). General linear models tested medication effects on post-treatment discounting, controlling for baseline discounting, education, and income.

resultsA significant interaction between medication and baseline delay discounting emerged (P = .03; η2 = .67). Among participants with lower baseline discounting, naltrexone reduced delay discounting compared to placebo and varenicline. However, no significant effects were observed in participants with higher baseline discounting. Varenicline did not significantly alter delay discounting compared to placebo.

conclusionsThese findings suggest that naltrexone may reduce delay discounting in individuals with AUD, but primarily among those with lower discounting rates. The results highlight the importance of baseline traits in understanding medication effects on decision-making. Given the small sample size, future research should replicate these findings in larger trials and explore whether delay discounting could serve as a biomarker for personalized AUD treatment.

Indexed as

AlcoholismDelay DiscountingNaltrexoneNarcotic AntagonistsVareniclineAdultDouble-Blind MethodFemaleHumansMaleMiddle AgedNaltrexoneNarcotic AntagonistsVareniclinealcohol use disorderbehavioral economicsdelay discountingimpulsivitynaltrexone

Identifiers

PMID40982440
PMCPMC12452822

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.