Evidence map›Paper›PMID 32590196›Full record

ArticleForensic science international2020

Quantifying enhanced risk from alcohol and other factors in polysubstance-related deaths.

Zheng Dai, Marie A Abate, D Leann Long, Gordon S Smith, Theresa M Halki, James C Kraner, Allen R Mock

Open access · greenAbstract read
In one paragraph

Article in Forensic science international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 8 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

7 authors at 3 institutions in 1 country.

Zheng DaiSchool of Public Health, West Virginia University, One Medical Center Drive, Morgantown, WV 26506, United States. Electronic address: zd0001@hsc.wvu.edu.
Marie A AbateSchool of Pharmacy, West Virginia University, 1124 Health Sciences North, Morgantown, WV 26506, United States.
D Leann LongSchool of Public Health, University of Alabama at Birmingham, 327F Ryals Public Health Building, Birmingham, AL 35294, United States.
Gordon S SmithSchool of Public Health, West Virginia University, One Medical Center Drive, Morgantown, WV 26506, United States.
Theresa M HalkiSchool of Pharmacy, West Virginia University, 1124 Health Sciences North, Morgantown, WV 26506, United States.
James C KranerWest Virginia Office of the Chief Medical Examiner, West Virginia Department of Health and Human Resources, 619 Virginia Street West, Charleston, WV 25302, United States.
Allen R MockWest Virginia Office of the Chief Medical Examiner, West Virginia Department of Health and Human Resources, 619 Virginia Street West, Charleston, WV 25302, United States.
West Virginia University · USVirginia Department of Health · USUniversity of Alabama at Birmingham · US

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
NIDA NIH HHS R21 DA040187NIDA NIH HHS UG3 DA044825NIGMS NIH HHS U54 GM104942
6 · The paper itself

Abstract

backgroundTo quantify how alcohol, polysubstance use and other factors influence opioid concentrations in drug-related deaths in West Virginia (WV), United States.

methodsMultiple linear regression models were employed to identify relationships among alcohol, other factors, and the concentrations of four commonly identified opioids (fentanyl, hydrocodone, oxycodone, methadone), accounting for demographic, toxicological and comorbid characteristics in WV drug-related deaths from 2005 to 2018.

resultsAlcohol concentrations of 0.08% or above were associated with significant reductions in blood concentrations of fentanyl (27.5%), hydrocodone (30.5%) and methadone (32.4%). Significantly lower predicted concentrations of all opioids studied were associated with multiple opioid vs. single opioid presence, with predicted concentration reductions ranging from 13.7% for fentanyl to 65-66% for hydrocodone and oxycodone. Benzodiazepine presence was associated with small, non-statistically significant changes in opioid concentrations, while stimulant presence was associated with statistically significant reductions in hydrocodone and oxycodone concentrations.

conclusionsCo-ingestion of alcohol, multiple opioids or stimulants were associated with significantly decreased predicted concentrations of commonly identified opioids in drug deaths. Further evidence is provided for enhanced risks from polysubstance use with opioids, which has important public health implications.

Indexed as

Blood Alcohol ContentAdultAnalgesics, OpioidBody Mass IndexCardiovascular DiseasesCentral Nervous System StimulantsCoroners and Medical ExaminersFemaleForensic ToxicologyHumansLinear ModelsLung DiseasesMaleSubstance-Related DisordersWest VirginiaAnalgesics, OpioidBlood Alcohol ContentCentral Nervous System StimulantsAlcoholDrug-related deathOpioidPolysubstance use

Identifiers

PMID32590196
PMCPMC7374018
OpenAlexW3029487387

What OpenQuestion holds

Textmetadata
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Read underepoch 390

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.