Evidence map›Paper›PMID 39237824›Full record

ArticleForensic science, medicine, and pathology2025

Demographic, co-intoxicants and other characteristics of citalopram-involved overdose deaths.

José E Muñoz, Marie A Abate, Zheng Dai, Gordon S Smith, James C Kraner, Allen R Mock

Abstract read
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In one paragraph

Article in Forensic science, medicine, and pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Developing Longitudinal Post-Overdose Care: A Call to Action.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2026
    Article
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.

José E MuñozDepartment of Clinical Pharmacy, School of Pharmacy, 1124 Health Sciences Center, West Virginia University, Morgantown, WV, 26506, USA.
Marie A AbateDepartment of Clinical Pharmacy, School of Pharmacy, 1124 Health Sciences Center, West Virginia University, Morgantown, WV, 26506, USA.
Zheng DaiWest Virginia University Health Affairs Institute, 64 Medical Center Dr., Morgantown, WV, 26506, USA. zheng.dai@hsc.wvu.edu.ORCID 0000-0002-5943-0748
Gordon S SmithDepartment of Epidemiology and Biostatistics, School of Public Health, West Virginia University, Morgantown, WV, 26506, USA.
James C KranerWest Virginia Office of the Chief Medical Examiner, 619 Virginia Street West, Charleston, WV, 25302, USA.
Allen R MockWest Virginia Office of the Chief Medical Examiner, 619 Virginia Street West, Charleston, WV, 25302, USA.

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI JUDITH FEINBERG · 2012 to 2026
$81.0M
Rural West Virginia Responds to Opioid Injection Epidemics: From Data to ActionUG3DA044825 · NIDA · WEST VIRGINIA UNIVERSITY · PI FEINBERG, JUDITH, SMITH, GORDON STEPHEN · 2017 to 2018
$1.0M
Drugs and Driving: Developing a Sentinel Drug_FARS for ResearchR21DA040187 · NIDA · WEST VIRGINIA UNIVERSITY · PI SMITH, GORDON STEPHEN · 2016 to 2017
$360k
Intramural Research Program, National Institute on Drug Abuse 1UG3DA044825Intramural Research Program, National Institute on Drug Abuse R21DA040187NIGMS NIH HHS 2U54GM104942
6 · The paper itself

Abstract

Selective serotonin reuptake inhibitors (SSRIs) including citalopram are commonly used antidepressants that can be involved in drug-related deaths along with opioids and other substances. This study characterized citalopram involvement in West Virginia (WV) drug-related deaths compared to other SSRI and non-SSRI-related deaths. All 2005-2021 WV drug-related deaths were analyzed in this retrospective study. Demographics, other substances involved, and comorbidities in cases in which citalopram was listed on the death certificate were compared to other SSRI-related and total non-SSRI deaths. Citalopram concentrations and the association between citalopram presence with predicted fentanyl concentrations were determined. Citalopram was the most common antidepressant present in the deaths (4.5% of 14,363 total), with most (81%) unintentional. Male: female ratios in citalopram cases (0.9:1) were significantly lower than in non-SSRI deaths (2.3:1). Almost two-thirds of citalopram deaths had ≥ 4 substances involved compared to 26% of non-SSRI deaths. Overall, oxycodone was most frequently identified in citalopram deaths (fentanyl more commonly in recent years), followed by alprazolam and diazepam. Cardiovascular comorbidity was significantly more common in citalopram than non-SSRI deaths. No association was found between citalopram presence and predicted fentanyl concentrations. Most citalopram-related deaths were unintentional and involved proportionately more females, with larger numbers of concurrent substances present and more cardiovascular comorbidity compared to non-SSRI deaths. Citalopram is widely used and less toxic than many antidepressants. The extent to which it contributed to overdose deaths can be difficult to ascertain given the multiple substances usually present.

Indexed as

CitalopramDrug OverdoseSelective Serotonin Reuptake InhibitorsAdolescentAdultAgedAge DistributionAnalgesics, OpioidCardiovascular DiseasesComorbidityFemaleFentanylHumansMaleMiddle AgedOxycodoneAnalgesics, OpioidCitalopramFentanylOxycodoneSelective Serotonin Reuptake InhibitorsCitalopramSSRISubstance-related deathSuicideToxicity

Identifiers

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.