Evidence map›Paper›PMID 35387635›Full record

ArticleBMC public health2022

Availability of medical cannabis services by racial, social, and geographic characteristics of neighborhoods in New York: a cross-sectional study.

Chinazo O Cunningham, Chenshu Zhang, Maegan Hollins, Melinda Wang, Sumeet Singh-Tan, Paul J Joudrey

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  4. The use of public spatial databases in risk analysis: A US-oriented tutorial.Risk analysis : an official publication of the Society for Risk Analysis · 2025
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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.

Chinazo O CunninghamAlbert Einstein College of Medicine, 1300 Morris Park Ave, Bronx, NY, 10461, USA. chinazo.cunningham@einsteinmed.edu.
Chenshu ZhangAlbert Einstein College of Medicine, 1300 Morris Park Ave, Bronx, NY, 10461, USA.
Maegan HollinsNorthwestern University, 633 Clark St, Evanston, IL, 60208, USA.
Melinda WangYale School of Medicine, 333 Cedar St, New Haven, CT, 06510, USA.
Sumeet Singh-TanAlbert Einstein College of Medicine, 1300 Morris Park Ave, Bronx, NY, 10461, USA.
Paul J JoudreyYale School of Medicine, 333 Cedar St, New Haven, CT, 06510, USA.

Funding

Patient and Population Health Outcomes Research SWGP30AI124414 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI Kathryn M. Anastos · 2017 to 2026
$28.3M
Does medical cannabis reduce opioid analgesics in HIV+ and HIV- adults with pain?R01DA044171 · NIDA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI ARNSTEN, JULIA H. · 2017 to 2021
$3.8M
Mentoring researchers on drug abuse and HIVK24DA036955 · NIDA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI CUNNINGHAM, CHINAZO · 2014 to 2019
$911k
NIAID NIH HHS P30 AI124414NIDA NIH HHS K24 DA036955NIDA NIH HHS R01 DA044171
6 · The paper itself

Abstract

backgroundWithin the United States (US), because racial/ethnic disparities in cannabis arrests continue, and cannabis legalization is expanding, understanding disparities in availability of legal cannabis services is important. Few studies report mixed findings regarding disparities in availability of legal cannabis services; none examined New York. We examined disparities in availability of medical cannabis services in New York. We hypothesized that New York census tracts with few Black or Hispanic residents, high incomes, high education levels, and greater urbanicity would have more medical cannabis services.

methodsIn this cross-sectional study, we used data from the 2018 US Census Bureau 5-year American Community Survey and New York Medical Marijuana Program. Main exposures were census tract characteristics, including urban-rural classification, percentage of Black and Hispanic residents, percentage of residents with bachelor's degrees or higher, and median household income. Main outcomes were presence of at least one medical cannabis certifying provider and dispensary in each census tract. To compare census tracts' characteristics with (vs. without) certifying providers and dispensaries, we used chi-square tests and t-tests. To examine characteristics independently associated with (vs. without) certifying providers, we used multivariable logistic regression.

resultsOf 4858 New York census tracts, 1073 (22.1%) had medical cannabis certifying providers and 37 (0.8%) had dispensaries. Compared to urban census tracts, suburban census tracts were 62% less likely to have at least one certifying provider (aOR = 0.38; 95% CI = 0.25-0.57). For every 10% increase in the proportion of Black residents, a census tract was 5% less likely to have at least one certifying provider (aOR = 0.95; 95% CI = 0.92-0.99). For every 10% increase in the proportion of residents with bachelor's degrees or higher, a census tract was 30% more likely to have at least one certifying provider (aOR = 1.30; 95% CI = 1.21-1.38). Census tracts with (vs. without) dispensaries were more likely to have a higher percentage of residents with bachelor's degrees or higher (43.7% vs. 34.1%, p < 0.005).

conclusionsIn New York, medical cannabis services are least available in neighborhoods with Black residents and most available in urban neighborhoods with highly educated residents. Benefits of legal cannabis must be shared by communities disproportionately harmed by illegal cannabis.

Indexed as

CannabisMedical MarijuanaCross-Sectional StudiesHumansNew YorkResidence CharacteristicsUnited StatesMedical MarijuanaAvailability of legal cannabisCensus tractMedical cannabisNew YorkRacial and ethnic disparities

Identifiers

PMID35387635
PMCPMC8988426

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Registered trials

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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.