Evidence map›Paper›PMID 40873974›Full record

ArticleAddiction research & theory2025

Implications of Genetic Attributions for Addiction in Adults Affected by Alcohol Use Disorder and Gambling Disorder.

Matthew S Lebowitz, Shawn T Sorge, Rachel N Rattenni

Abstract read
In one paragraph

Article in Addiction research & theory, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

Matthew S LebowitzDepartment of Psychiatry, Columbia University, New York, NY 10032, USA.
Shawn T SorgePsychology Division, U.S Department of Veterans Affairs New York Harbor Healthcare System, New York, New York, 10010, USA.
Rachel N RattenniDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Funding

UNDERSTANDING IMPLICATIONS OF GENETIC ATTRIBUTIONS FOR ADDICTIONR00HG010084 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LEBOWITZ, MATTHEW · 2020 to 2022
$747k
Understanding Implications of Genetic Attributions for AddictionK99HG010084 · NHGRI · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI LEBOWITZ, MATTHEW · 2018 to 2019
$336k
NHGRI NIH HHS K99 HG010084NHGRI NIH HHS R00 HG010084
6 · The paper itself

Abstract

Background: The role of the genome in the etiology of addictive disorders is increasingly emphasized, though the impact of this emphasis on people affected by addiction remains unclear. Furthering existing research on this topic, we sought to explore how attributing one's own addiction to genetic causes would relate to clinically relevant attitudes and beliefs, and whether any such impact would differ between people with substance addictions (alcohol use disorder in our sample) and those with behavioral addictions (gambling disorder in our sample). Methods: Individuals affected by gambling disorder (GD; N=60) or alcohol use disorder (AUD; n=53) completed a measure of their belief in a possible genetic basis for their addictive disorder, as well as measures of beliefs about the effectiveness of medication and psychotherapy, characterological self-blame, and beliefs about their ability to overcome their addictive disorder. A subset of 20 participants completed qualitative follow-up interviews to explore their perspectives in greater depth. Results: In the GD sample, but not in the AUD sample, genetic attributions were positively associated with characterological self-blame; no other quantitative variables showed significant associations with genetic attributions. In the interviews, several participants expressed views of a genetic explanation for addiction as suggesting a need for biomedical (pharmacological) treatment. There was a diversity of views about whether a genetic explanation would indicate blamelessness on the part of the individual patient, as well as whether it would connote limited agency to overcome addiction through behavioral self-control. Conclusions: Individuals with addictive disorders may endorse a variety of different perspectives about the implications of genetic explanations of addiction for treatment, self-efficacy, and blame, which may help to explain why quantitative associations between genetic attributions and other variables were not consistently observed.

Indexed as

AddictionGeneticsHealth beliefs

Identifiers

PMID40873974
PMCPMC12380008

What OpenQuestion holds

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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.