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Usage Information

The 5α-reductase inhibitor finasteride reduces opioid self-administration in animal models of opioid use disorder
Gabriel D. Bosse, Roberto Cadeddu, Gabriele Floris, Ryan D. Farero, Eva Vigato, Suhjung J. Lee, Tejia Zhang, Nilesh W. Gaikwad, Kristen A. Keefe, Paul E.M. Phillips, Marco Bortolato, Randall T. Peterson
Gabriel D. Bosse, Roberto Cadeddu, Gabriele Floris, Ryan D. Farero, Eva Vigato, Suhjung J. Lee, Tejia Zhang, Nilesh W. Gaikwad, Kristen A. Keefe, Paul E.M. Phillips, Marco Bortolato, Randall T. Peterson
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Research Article Neuroscience

The 5α-reductase inhibitor finasteride reduces opioid self-administration in animal models of opioid use disorder

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Abstract

Opioid use disorder (OUD) has become a leading cause of death in the United States, yet current therapeutic strategies remain highly inadequate. To identify potential treatments for OUD, we screened a targeted selection of over 100 drugs using a recently developed opioid self-administration assay in zebrafish. This paradigm showed that finasteride, a steroidogenesis inhibitor approved for the treatment of benign prostatic hyperplasia and androgenetic alopecia, reduced self-administration of multiple opioids without affecting locomotion or feeding behavior. These findings were confirmed in rats; furthermore, finasteride reduced the physical signs associated with opioid withdrawal. In rat models of neuropathic pain, finasteride did not alter the antinociceptive effect of opioids and reduced withdrawal-induced hyperalgesia. Steroidomic analyses of the brains of fish treated with finasteride revealed a significant increase in dehydroepiandrosterone sulfate (DHEAS). Treatment with precursors of DHEAS reduced opioid self-administration in zebrafish in a fashion akin to the effects of finasteride. These results highlight the importance of steroidogenic pathways as a rich source of therapeutic targets for OUD and point to the potential of finasteride as a new treatment option for this disorder.

Authors

Gabriel D. Bosse, Roberto Cadeddu, Gabriele Floris, Ryan D. Farero, Eva Vigato, Suhjung J. Lee, Tejia Zhang, Nilesh W. Gaikwad, Kristen A. Keefe, Paul E.M. Phillips, Marco Bortolato, Randall T. Peterson

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Usage data is cumulative from February 2025 through February 2026.

Usage JCI PMC
Text version 2,829 495
PDF 292 0
Figure 568 3
Supplemental data 140 19
Citation downloads 83 0
Totals 3,912 517
Total Views 4,429
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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