Evidence map›Paper›PMID 40652389›Full record

ArticleThe American journal on addictions2026

An exploratory analysis of 5-alpha reductase inhibitors and risk of opioid use disorder among male Medicare beneficiaries receiving prescription opioid medications.

Abdelrahman G Tawfik, Tyler Lister, Ainhoa Gomez-Lumbreras, Randall T Peterson, Marco Bortolato, Daniel C Malone

Abstract read
In one paragraph

Article in The American journal on addictions, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

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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

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Abdelrahman G TawfikDepartment of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, Utah, USA.
Tyler ListerDepartment of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, Utah, USA.
Ainhoa Gomez-LumbrerasDepartment of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, Utah, USA.
Randall T PetersonDepartment of Pharmacology and Toxicology, College of Pharmacy, University of Utah, Salt Lake City, Utah, USA.
Marco BortolatoDepartment of Pharmacodynamics, College of Pharmacy, University of Florida, Gainsville, Florida, USA.
Daniel C MaloneDepartment of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0002-5006-9394

Funding

ALSAM Foundation
6 · The paper itself

Abstract

backgroundOpioid use disorder (OUD) imposes a significant socioeconomic burden, highlighting the need for new interventions.

objectiveThis study investigated whether exposure to 5-alpha reductase inhibitors (5αRIs) is associated with a lower risk of developing OUD.

methodsA cohort study was conducted using Medicare data from 2017 to 2019. Male subjects identified as receiving at least one opioid medication were propensity score matched based on exposure to a 5αRI medication. The primary outcome of interest was a diagnosis of OUD occurring following opioid exposure. Additionally, the study compared the number of morphine milliequivalents (MME) and the count of opioid prescription claims between the groups.

resultsWe identified 467,399 subjects who had received at least one opioid prescription. Among these, 19,176 beneficiaries were receiving a 5αRI before opioid medication exposure and were matched 1:1 to non-users. Use of 5αRI was associated with a reduced risk of OUD (OR = 0.63, 95% CI: 0.53-0.75). MME for subjects exposed to 5αRI was significantly lower than for those without 5αRI exposure (p < .001). Furthermore, there was a significant difference in the number of opioid prescription claims between the groups, with those taking a 5αRI having an average of 6.0 (SD = 10.1) prescriptions as compared to 6.7 (SD = 13.0) for those not receiving a 5αRI (p < .001). CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: This first of its kind in humans study suggests that concomitant use of opioids and 5αRI is associated with a reduction in OUD and maybe a preventive therapy for patients at risk of OUD. Our findings align with animal models that have shown similar findings.

Indexed as

5-alpha Reductase InhibitorsAnalgesics, OpioidOpioid-Related DisordersAgedAged, 80 and overCohort StudiesHumansMaleMedicareMiddle AgedUnited States5-alpha Reductase InhibitorsAnalgesics, Opioid

Identifiers

PMID40652389
PMCPMC12747702

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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.