Evidence map›Paper›PMID 28846058›Full record

ArticleJournal of psychoactive drugs

Intercorrelation of Alcohol and Other Drug Use Disorders among a National Sample of Drivers.

Michael Scherer, Sarah Canham, Robert B Voas, C Debra Furr-Holden

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of psychoactive drugs. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Michael Scherera Associate Research Scientist, Pacific Institute for Research and Evaluation , Calverton , MD , USA.
Sarah Canhamb Research Associate, Department of Gerontology , Simon Fraser University , Vancouver , BC , Canada.ORCID 0000-0002-0421-2612
Robert B Voasc Senior Research Scientist, Pacific Institute for Research and Evaluation , Calverton , MD , USA.
C Debra Furr-Holdend Endowed Professor, Department of Epidemiology and Biostatics , Michigan State University , Flint , MI , USA.

Funding

NIDA Epidemiology Training Program: Johns Hopkins UniversityT32DA007292 · NIDA · JOHNS HOPKINS UNIVERSITY · PI RENEE M. JOHNSON, Brion S Maher · 1993 to 2026
$17.7M
Drivers with Alcohol Use Disorders: At high risk for crashes?R01AA018352 · NIAAA · PACIFIC INSTITUTE FOR RES AND EVALUATION · PI VOAS, ROBERT B · 2009 to 2010
$1.0M
Formation of an Impaired-Driving CenterP20AA017831 · NIAAA · PACIFIC INSTITUTE FOR RES AND EVALUATION · PI BAHOUTH, GEORGE T, FELL, JAMES C. · 2009 to 2010
$1000k
Estimating the Prevalence of Alcohol Use Disorders among At-Risk DriversR01AA016407 · NIAAA · PACIFIC INSTITUTE FOR RES AND EVALUATION · PI FURR-HOLDEN, C DEBRA · 2006 to 2007
$893k
The role of beta-endorphin in cutaneous inflammationF31ES027301 · NIEHS · HARVARD MEDICAL SCHOOL · PI SILKWORTH, WHITNEY · 2016 to 2017
$63k
NIAAA NIH HHS P20 AA017831NIAAA NIH HHS R01 AA016407NIAAA NIH HHS R01 AA018352NIDA NIH HHS T32 DA007292
6 · The paper itself

Abstract

This study examined the relationship between alcohol, marijuana, cocaine, and painkiller use disorders in a sample of drivers. We studied nighttime drivers aged 16 to 87 (n = 4,277) from the 2007 National Roadside Survey who reported substance use behaviors and provided breath tests for alcohol. Logistic regression analyses assessed the relationships between (1) substance (i.e., alcohol/marijuana/cocaine/pain killer) use disorders; (2) demographic characteristics; and (3) BAC levels. Overall, 13.2% of participants met criteria for marijuana use disorder, 7% met criteria for cocaine use disorder, and 15.4% met criteria for extra-medicinal painkiller use disorder. When self-report data were analyzed, three reciprocal associations emerged: (1) marijuana use disorders and alcohol use disorders were correlated; (2) marijuana use disorders and cocaine use disorders were correlated; and (3) cocaine use disorders and painkiller use disorders were correlated. BAC data revealed that marijuana and cocaine use disorders were both associated with positive BAC levels, but only cocaine use disorders were associated with BAC levels over the legal limit. Results suggest significant poly-substance use disorders in a sample of nighttime drivers, with variations by demographic characteristics. The individual and public health consequences of multiple substance use disorders among drivers are significant.

Indexed as

AdolescentAdultAgedAged, 80 and overAlcoholismAutomobile DrivingBreath TestsCocaine-Related DisordersFemaleHumansLogistic ModelsMaleMarijuana AbuseMiddle AgedOpioid-Related DisordersSubstance Abuse DetectionAlcoholcocainemarijuanapainkillerssubstance use disorder

Identifiers

PMID28846058
PMCPMC6117115

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.