Evidence map›Paper›PMID 37441979›Full record

ArticleThe International journal on drug policy2023

Alignment in local approaches to alcohol and cannabis control policy: A case study of California cities and counties.

Ellicott C Matthay, Leyla Mousli, Dorie E Apollonio, Laura A Schmidt

Open access · hybridAbstract read
In one paragraph

Article in The International journal on drug policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. 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.

Ellicott C MatthayCenter for Opioid Epidemiology and Policy, Division of Epidemiology, Department of Population Health, New York University Grossman School of Medicine, 180 Madison Ave, New York, NY 10016, USA. Electronic address: ellicott.matthay@nyulangone.org.
Leyla MousliPhilip R. Lee Institute for Health Policy Studies, School of Medicine, University of California, San Francisco, 490 Illinois St, 7th Floor, San Francisco, CA 94158, USA.
Dorie E ApollonioSchool of Pharmacy, University of California, San Francisco, 530 Parnassus Ave, San Francisco, CA 94143, USA.
Laura A SchmidtPhilip R. Lee Institute for Health Policy Studies, School of Medicine, University of California, San Francisco, 490 Illinois St, 7th Floor, San Francisco, CA 94158, USA; Department of Humanities and Social Sciences, School of Medicine, University of California, San Francisco, 490 Illinois St, 7th Floor, San Francisco, CA 94143, USA.
University of California, San Francisco · USNew York University · US

Funding

Joint Impacts of Local Alcohol and Cannabis Laws and Outlet Densities on ViolenceR00AA028256 · NIAAA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MATTHAY, ELLICOTT COLSON · 2022 to 2024
$747k
Linking local variation in marijuana and opioid policies to health outcomesR21DA046051 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI APOLLONIO, DOROTHY ELINOR, RAMO, DANIELLE E · 2019 to 2020
$442k
Joint impacts of local alcohol and cannabis policies and outlet densities on violenceK99AA028256 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MATTHAY, ELLICOTT COLSON · 2020 to 2021
$342k
NIAAA NIH HHS K99 AA028256NIAAA NIH HHS R00 AA028256NIDA NIH HHS R21 DA046051
6 · The paper itself

Abstract

backgroundPublic health experts have urged governments around the world to regulate newly legalized cannabis as they do alcohol to effectively and efficiently protect health. However, research evaluating the alignment of alcohol and cannabis policies is sparse. We assessed similarities and differences in local alcohol and cannabis control policies across California, and characterized localities adopting distinct policy approaches.

methodsUsing standard legal epidemiologic techniques, we collected and coded local alcohol and cannabis control policies relevant to public health for 12 California counties and all incorporated cities within them (N=241). We assessed whether localities were equally stringent on alcohol and cannabis policies by comparing overall restrictiveness (summed policy scores) and 9 specific provisions that applied to both substances. We captured distinct local alcohol-cannabis policy approaches using latent class analysis, and examined this classification in relation to local demographic, socioeconomic, political, and retail market characteristics.

resultsAll 241 localities permitted alcohol sales, while 71% banned cannabis sales. Among those that did not ban cannabis sales, more stringent alcohol policy scores were associated with more stringent cannabis policy scores (linear regression coefficient: 0.16 [95% CI: 0.07, 0.25]). Local governments rarely adopted the same provisions for alcohol and cannabis (e.g., limits on hours of sale, advertising restrictions), and only two regulated the co-location of cannabis and alcohol outlets. Localities that were restrictive on alcohol yet permissive on cannabis (12%) were more urban, politically progressive, and had more low-income and racial/ethnic minority residents. Localities that were more permissive on alcohol and restrictive on cannabis (51%) were more socioeconomically advantaged.

conclusionWe found few similarities between local alcohol and cannabis control policies. California's experience suggests that, as governments around the world legalize cannabis, lessons learned from regulating alcohol are not routinely applied to cannabis, particularly in communities distinguished by high social and economic advantages.

Indexed as

CannabisCaliforniaCitiesEthnicityHumansMinority GroupsPublic PolicyAlcoholCannabisLocal governmentPolicyPolitical learningPublic health

Identifiers

PMID37441979
PMCPMC10530325
OpenAlexW4383892292

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.