Evidence map›Paper›PMID 31596516›Full record

ArticleAlcoholism, clinical and experimental research2019

The Role of Drugs in Alcohol Poisoning and Blackout Events: A Latent Class Analysis of a Residential Treatment Sample.

Anne C Fernandez, Rachel E Gicquelais, Mary Jannausch, Amy S B Bohnert

Open access · hybridAbstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Analysis of Patients with Alcohol Dependence Treated in Silesian Intensive Care Units.International journal of environmental research and public health · 2022
    Article
  3. Alcohol-involved overdose deaths in US veterans.Drug and alcohol dependence · 2022
    Article
  4. Observational
  5. 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

4 authors at 2 institutions in 1 country.

Anne C FernandezDepartment of Psychiatry & Addiction Center, Michigan Medicine, Ann Arbor, Michigan.ORCID 0000-0002-9129-7318
Rachel E GicquelaisJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Mary JannauschDepartment of Psychiatry & Addiction Center, Michigan Medicine, Ann Arbor, Michigan.
Amy S B BohnertDepartment of Psychiatry & Addiction Center, Michigan Medicine, Ann Arbor, Michigan.
Michigan Medicine · USJohns Hopkins University · US

Funding

Johns Hopkins HIV Epidemiology and Prevention Sciences Training ProgramT32AI102623 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Shruti H Mehta · 2013 to 2026
$5.3M
Integrating Alcohol Screening, Brief Intervention, and Referral to Treatment into Presurgical CareK23AA023869 · NIAAA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FERNANDEZ, ANNE CHRISTIE · 2016 to 2020
$857k
Developing a Prescription Opioid Overdose Prevention InterventionR34DA035331 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOHNERT, AMY S B · 2014 to 2016
$672k
NIAAA NIH HHS K23 AA023869NIAID NIH HHS T32 AI102623NIDA NIH HHS R34 DA035331
6 · The paper itself

Abstract

backgroundAlcohol can lead to fatal and nonfatal overdose (OD) through its neurobiological inhibitory effects when used alone or with other drugs. Little research has examined alcohol OD characteristics in the context of concomitant drug use.

methodsThis study utilized alcohol OD data (defined as alcohol poisoning, passing out, or blacking out) collected in a large residential addiction treatment facility (N = 660). Latent class analysis identified classes of alcohol OD events based on concomitant drug use at the time of OD. We evaluated correlates of alcohol OD classes, including depression, emergency medical services, and hospitalization, using latent class regression.

resultsOnly 20% of alcohol ODs involved alcohol alone. Marijuana was the most commonly used drug during the most recent alcohol OD (43.2%), followed by sedatives (27.9%), cocaine or crack (25.9%), prescription opioids (26.1%), and heroin (20%). The final latent class model included 3 classes: no/low drug involvement (61%), moderate drug involvement (33%), and high drug involvement (6%). Relative to the no/low drug involvement class, participants admitted to the hospital were 6.4-fold more likely to be in the high drug involvement class (95% CI: 2.4 to 16.6) and 2.9-fold more likely to be in the moderate drug involvement class (95% CI: 1.2 to 7.2). Participants receiving emergency medical services were more likely to be in the high drug involvement class (aOR: 2.2, 95% CI: 2.2, 1.1 to 4.5) and less likely to be in the moderate drug involvement class (aOR 0.39, 95% CI: 0.2 to 0.96).

conclusionsCombining drug classes with alcohol prior to OD was common and associated with a higher likelihood of hospitalization. Overdose prevention efforts should address acute risks of alcohol ingestion with other drugs.

Indexed as

AdultAlcoholic IntoxicationCross-Sectional StudiesEthanolFemaleHumansLatent Class AnalysisMaleMichiganRisk FactorsSubstance-Related DisordersEthanolAlcoholDepressionDrugHospitalizationOverdose

Identifiers

PMID31596516
PMCPMC6824947
OpenAlexW2979715234

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.