Evidence map›Paper›PMID 30103098›Full record

ArticleAddictive behaviors2019

Correct knowledge of medical cannabis legal status in one's own state: Differences between adolescents and adults in the United States, 2004-2013.

Pia M Mauro, Julian Santaella-Tenorio, Alexander S Perlmutter, Deborah S Hasin, Christine M Mauro, Silvia S Martins

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Addictive behaviors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Cannabis legalization in the U.S. Where do we go from here?Trends in psychiatry and psychotherapy · 2022
    Article
  5. Article
  6. Article
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  8. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Pia M MauroDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States. Electronic address: pm2838@cumc.columbia.edu.
Julian Santaella-TenorioDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States.
Alexander S PerlmutterDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States; Université Paris Descartes, Centre de Recherche Épidémiologique et Statistique Sorbonne Paris Cité UMR1153, Paris, France.
Deborah S HasinDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States; Department of Psychiatry, New York State Psychiatric Institute, New York, NY, United States.
Christine M MauroDepartment of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, United States.
Silvia S MartinsDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States.
Columbia University · USColumbia University Irving Medical Center · USDélégation Paris 5 · FRNew York Psychoanalytic Society and Institute · US

Funding

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
State medical marijuana laws and MTF teen marijuana use and attitudes since 1991R01DA034244 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI HASIN, DEBORAH S · 2012 to 2016
$3.0M
State medical marijuana laws and NSDUH marijuana use and consequences since 2004R01DA037866 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MARTINS, SILVIA SABOIA · 2014 to 2018
$2.3M
NIDA NIH HHS L30 DA042436NIDA NIH HHS R01 DA034244NIDA NIH HHS R01 DA037866NIDA NIH HHS T32 DA031099
6 · The paper itself

Abstract

backgroundStudies have found age-specific effects of medical cannabis laws (MCLs), particularly affecting adult cannabis use but not adolescent use. We examined whether age differences in MCL knowledge are in accordance with age differences in MCL effects on cannabis use.

methodsData from the 2004-2013 repeated cross-sectional National Surveys on Drug Use and Health included people ages 12 and older in the United States. State-aggregated MCL knowledge was the proportion of people that correctly identified living in a state that did not allow medical cannabis prior to MCL enactment, or that allowed medical cannabis after MCL enactment. We regressed state-aggregated MCL knowledge on time-varying MCL enactment (i.e., no MCL by 2015, before MCL, after MCL), testing associations by age strata (12-17, 18-25, 26+), open dispensary status, and adjusting for time and state-level demographics.

resultsModel-based MCL knowledge was significantly lower among adolescents than adults; after enactment, 36.8% of ages 12-17, 48.8% of ages 18-25, and 45.4% of ages 26+ were aware of their state's MCL status. Correct MCL status knowledge decreased across all age groups after MCL enactment (i.e., low knowledge of MCL changes at the time they occurred). Open cannabis dispensaries significantly increased correct MCL knowledge, with a 7.7-point increase for adolescents and a 17.5-point increase for adults 26 + .

conclusionsLower MCL knowledge among adolescents than adults was in accordance with MCL effects on cannabis use previously observed among adults only. Studies should assess whether MCL knowledge is a consequence or predictor of individual-level cannabis use across age groups.

Indexed as

AwarenessMedical MarijuanaAdolescentAdultAge FactorsChildDrug and Narcotic ControlFemaleHumansMaleSurveys and QuestionnairesUnited StatesYoung AdultMedical MarijuanaAdolescentsCannabisDispensariesKnowledgeMarijuana policyMedical cannabis laws

Identifiers

PMID30103098
PMCPMC6538076
OpenAlexW2886050079

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.