Evidence map›Paper›PMID 33565655›Full record

ArticleAddiction (Abingdon, England)2021

Availability of medical cannabis dispensaries and cannabis abuse/dependence-related hospitalizations in California.

Christina Mair, Natalie Sumetsky, Christiana Kranich, Bridget Freisthler

Open access · greenAbstract read
In one paragraph

Article in Addiction (Abingdon, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
6.4field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 26 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Christina MairDepartment of Behavioral and Community Health Sciences, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA.ORCID 0000-0003-3841-3313
Natalie SumetskyDepartment of Behavioral and Community Health Sciences, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA.ORCID 0000-0001-9800-8753
Christiana KranichCollege of Social Work, The Ohio State University, Columbus, OH, USA.
Bridget FreisthlerCollege of Social Work, The Ohio State University, Columbus, OH, USA.ORCID 0000-0001-6993-4838
The Ohio State University · USUniversity of Pittsburgh · US

Funding

Transitions and Alcohol Use in the Later Lifespan: Environmental and Individual-level InfluencesP60AA006282 · NIAAA · PACIFIC INSTITUTE FOR RES AND EVALUATION · PI PAUL J GRUENEWALD · 2003 to 2026
$41.2M
WORK AND DRINKINGP50AA006282 · NIAAA · PREVENTION RESEARCH CENTER · PI HOLDER, HAROLD D · 1985 to 2002
$4.6M
Evaluating the Geography of Medical Cannabis Facilities on Crime, Price and UseR01DA032715 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FREISTHLER, BRIDGET J · 2011 to 2015
$2.6M
NIAAA NIH HHS P50 AA006282NIAAA NIH HHS P60 AA006282NIAAA NIH HHS P60-AA-006282NIDA NIH HHS R01 DA032715NIDA NIH HHS R01-DA-032715
6 · The paper itself

Abstract

aimsTo estimate associations between both current- and prior-year medical cannabis dispensary densities and hospitalizations for cannabis use disorder in California, USA between 2013 and 2016.

designSpatial analysis of ZIP code-level hospitalization discharge data using Bayesian Poisson hierarchical space-time models over 4 years. SETTING AND CASES: California, USA from 2013 to 2016 (6832 space-time ZIP code units). MEASUREMENTS: We assessed associations of annual hospitalizations for cannabis use disorder [assignment of a primary or secondary code for cannabis abuse and/or dependence using ICD-9-CM or ICD-10-CM (outcome)] with the total number of medical cannabis dispensaries per square mile in a ZIP code as well as dispensary temporal and spatial lags (primary exposures). Other exposure covariates included alcohol outlet densities, manual labor and retail sales densities and ZIP code-level economic and demographic conditions.

findingsOne additional dispensary per square mile was associated with a median risk ratio of 1.021 (95% credible interval 1.001, 1.041). Prior-year dispensary density did not appear to be associated with hospitalizations (median risk ratio = 1.006, 95% CrI = 0.986, 1.026). Higher median household income, higher unemployment, greater off-premises alcohol outlet density and lower on-premises alcohol outlet density and poverty were all associated with decreased ZIP code-level risk of cannabis abuse/dependence hospitalizations.

conclusionsIn California, USA, the increasing density of medical cannabis dispensaries appears to be positively associated with same-year but not next-year hospitalizations for cannabis use disorder.

Indexed as

CannabisMarijuana AbuseMedical MarijuanaBayes TheoremCaliforniaHospitalizationHumansMedical MarijuanaCannabis abusecannabis dependencecannabis use disorderhospital discharge datamedical cannabis dispensariesspatial analysis

Identifiers

PMID33565655
PMCPMC10680151
OpenAlexW3128378167

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.