Evidence map›Paper›PMID 37703770›Full record

ArticleDrug and alcohol dependence2023

Potential effect of antidepressants on remission from cocaine use disorder - A nationwide matched retrospective cohort study.

Zhenxiang Gao, T John Winhusen, Maria Gorenflo, Udi E Ghitza, Edward Nunes, Andrew J Saxon, Todd Korthuis, Kathleen Brady, Sean X Luo, Pamela B Davis and 2 more

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

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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

12 authors at 10 institutions in 1 country.

Zhenxiang GaoCenter for Artificial Intelligence in Drug Discovery, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
T John WinhusenCenter for Addiction Research, University of Cincinnati College of Medicine, Cincinnati, OH, USA. Electronic address: winhust@ucmail.uc.edu.
Maria GorenfloCenter for Artificial Intelligence in Drug Discovery, School of Medicine, Case Western Reserve University, Cleveland, OH, USA; Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH, USA.
Udi E GhitzaCenter for the Clinical Trials Network (CCTN), National Institute on Drug Abuse (NIDA), National Institutes of Health (NIH), Bethesda, MD, USA.
Edward NunesDepartment of Psychiatry, New York State Psychiatric Institute, Irving Medical Center, Columbia University, New York, NY, USA.
Andrew J SaxonDepartment of Psychiatry and Behavioral Science, School of Medicine, University of Washington, Seattle, WA, USA.
Todd KorthuisAddiction Medicine Section, Department of Medicine, Oregon Health & Science University, Portland, OR, USA.
Kathleen BradyDepartment of Psychiatry and Behavioral Sciences, College of Medicine, Medical University of South Carolina, Charleston, SC, USA.
Sean X LuoColumbia University Division on Substance Use Disorders, and Research Scientist, New York State Psychiatric Institute, New York, NY, USA.
Pamela B DavisCenter for Community Health Integration, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
David C KaelberCenter for Clinical Informatics Research and Education, The Metro Health System, Cleveland, OH, USA.
Rong XuCenter for Artificial Intelligence in Drug Discovery, School of Medicine, Case Western Reserve University, Cleveland, OH, USA. Electronic address: rxx@case.edu.
Case Western Reserve University · USCleveland Clinic Lerner College of Medicine · USColumbia University · USMedical University of South Carolina · USMetroHealth · USNational Institutes of Health · USNew York Psychoanalytic Society and Institute · USOregon Health & Science University · USUniversity of Cincinnati Medical Center · USUniversity of Washington · US

Funding

The Ohio Valley Node of the Clinical Trials Network (CTN-0153)UG1DA013732 · NIDA · UNIVERSITY OF CINCINNATI · PI T John WINHUSEN · 2015 to 2026
$42.5M
Clinical and Translational Science Collaborative of ClevelandUL1TR002548 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI MCCOMSEY, GRACE A · 2018 to 2022
$35.5M
Clinical and Translational Science Collaborative of Northern Ohio, Catalyzing Linkages to Equity in Health (CLE Health)UM1TR004528 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI GRACE A MCCOMSEY · 2023 to 2026
$32.1M
Clinical Trials Network: Pacific Northwest Node (CTN-0082, -0131, -0139 and dissemination library)UG1DA013714 · NIDA · UNIVERSITY OF WASHINGTON · PI Mary Akiko Hatch, John M. Roll · 2015 to 2026
$19.8M
NCATS NIH HHS UL1 TR002548NCATS NIH HHS UM1 TR004528NIDA NIH HHS UG1 DA013714NIDA NIH HHS UG1 DA013732
6 · The paper itself

Abstract

backgroundCocaine use disorder (CUD) is a significant public health issue for which there is no Food and Drug Administration-approved pharmacotherapy. Depressive disorders are common psychiatric comorbidity amongst individuals with CUD.

methodsA retrospective cohort study was conducted among 161,544 patients diagnosed with CUD and depression to evaluate the effectiveness of 13 antidepressants on CUD remission. For any antidepressant found to be associated with CUD remission that had an additional indication, we conducted an additional analysis to evaluate the effectiveness of the candidate drug in patients with CUD with that indication. We then analyzed publicly genomic and functional databases to identify potential explanatory mechanisms of action of the candidate drug in the treatment of CUD.

resultsAmong these antidepressants, bupropion was associated with higher rates of CUD remission compared to propensity-score matched patients prescribed other antidepressants: hazard ratio (HR) and 95% confidence interval (CI) 1.57 (95% CI: 1.27-1.94). Bupropion is also approved for smoking cessation. We identified CUD patients with co-occurring nicotine dependence and observed that patients prescribed bupropion displayed a higher rate of CUD remission compared to matched individuals prescribed other drugs for nicotine dependence: 1.38 (95% CI: 1.11-1.71). Genetic and functional analyses revealed that bupropion interacts with four protein-encoding genes (COMT, DRD2, SLC6A3, and SLC6A4) which are also associated with CUD and targets CUD-associated pathways including serotonergic synapses, cocaine addiction, and dopaminergic synapses.

conclusionsOur findings suggest that bupropion might be considered a treatment for improving CUD remission in patients with CUD and co-occurring depression or nicotine dependence.

Indexed as

CocaineTobacco Use DisorderAntidepressive AgentsBupropionHumansRetrospective StudiesSerotonin Plasma Membrane Transport ProteinsAntidepressive AgentsBupropionCocaineSerotonin Plasma Membrane Transport ProteinsSLC6A4 protein, humanAntidepressantBupropionCocaine use disorderNicotine dependence

Identifiers

PMID37703770
PMCPMC10556849
OpenAlexW4386524491

What OpenQuestion holds

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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.