Evidence map›Paper›PMID 32141142›Full record

ArticleAddiction (Abingdon, England)2020

Medical marijuana laws and driving under the influence of marijuana and alcohol.

David S Fink, Malki Stohl, Aaron L Sarvet, Magdalena Cerda, Katherine M Keyes, Deborah S Hasin

Open access · greenAbstract read
In one paragraph

Article in Addiction (Abingdon, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

26 citing papers in PubMed, 54 citations in OpenAlex.

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  20. Social Learning and Addiction.Behavioural brain research · 2021
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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

6 authors at 4 institutions in 1 country.

David S FinkDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.ORCID 0000-0003-1531-1525
Malki StohlNew York State Psychiatric Institute, New York, NY, USA.
Aaron L SarvetDepartment of Epidemiology, T.H. Chan School of Public Health, Harvard, Boston, MA, USA.
Magdalena CerdaDepartment of Population Health, New York University, New York, NY, USA.ORCID 0000-0001-8441-7046
Katherine M KeyesDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Deborah S HasinDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.ORCID 0000-0002-6533-7021
Columbia University · USNew York Psychoanalytic Society and Institute · USHarvard University · USNew York University · US

Funding

Training Program in Psychiatric Genetics and Translational ResearchT32MH017119 · NIMH · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI KARESTAN C KOENEN, Jukka-Pekka Onnela · 1985 to 2026
$8.9M
Substance Abuse Epidemiology Training Program (SAETP) at Columbia UniversityT32DA031099 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEBORAH S HASIN, Silvia Saboia Martins · 2012 to 2026
$6.1M
Impact of Medical and Recreational Marijuana Laws On Cannabis, Opioids And Psychiatric Medications: National Study of VA Patients, 2000 - 2024R01DA048860 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI HASIN, DEBORAH S · 2019 to 2023
$4.1M
NIDA NIH HHS R01 DA048860NIDA NIH HHS T32 DA031099NIMH NIH HHS T32 MH017119
6 · The paper itself

Abstract

aimsMedical marijuana law (MML) enactment in the United States has been associated with increased cannabis use but lower traffic fatality rates. We assessed the possible association of MML and individual-level driving under the influence of cannabis (DUIC) and also under the influence of alcohol (DUIA). DESIGN AND

settingThree cross-sectional U.S. adult surveys: The National Longitudinal Alcohol Epidemiologic Survey (NLAES; 1991-1992), the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC; 2001-2002), and the NESARC-III (2012-2013).

participantsThe total n was 118 497: 41 764, 41 184, and 35 549 from NLAES, NESARC, and NESARC-III, respectively. MEASUREMENTS: Across the three surveys, similar questions in the Alcohol Use Disorder and Associated Disabilities Interview Schedule assessed DUIC and DUIA. Ever-MML states enacted MML between 1991-1992 and 2012-2013 (overall period). Early-MML states enacted MML between 1991-1992 and 2001-2002 (early period). Late-MML states enacted MML between 2001-2002 and 2012-2013 (late period). MML effects on change in DUIC and DUIA prevalence were estimated using a difference-in-differences specification to compare changes in MML and other states.

findingsFrom 1991-1992 to 2012-2013, DUIC prevalence nearly doubled (from 1.02% to 1.92%), increasing more in states that enacted MML than other states (difference-in-differences [DiD] = 0.59%; 95% CI = 0.06%-1.12%). Most change in DUIC prevalence occurred between 2001-2002 and 2012-2013. DUIC prevalence increased more in states that enacted MML 2001-2002 to 2012-2013 than in never-MML states (DiD = 0.77%; 95% CI = -0.05%-1.59%), and in two early-MML states, California (DiD = 0.82; 95% CI = 0.06-1.59) and Colorado (DiD = 1.32; 95% CI = 0.11-2.53). In contrast, DUIA prevalence appeared unrelated to MML enactment.

conclusionsMedical marijuana law enactment in US states appears to have been associated with increased prevalence of driving under the influence of cannabis, but not alcohol.

Indexed as

Medical MarijuanaAdultCross-Sectional StudiesDriving Under the InfluenceEthanolFemaleHumansLongitudinal StudiesMaleMarijuana UsePrevalenceSurveys and QuestionnairesUnited StatesYoung AdultEthanolMedical MarijuanaDriving under the influencedrug policylegal epidemiologymarijuanamarijuana lawmedical cannabis

Identifiers

PMID32141142
PMCPMC7483706
OpenAlexW3009426921

What OpenQuestion holds

Textmetadata
LicenceTDM
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.