Evidence map›Paper›PMID 28340421›Full record

ArticleAddictive behaviors2017

Cannabis use patterns and motives: A comparison of younger, middle-aged, and older medical cannabis dispensary patients.

Nancy A Haug, Claudia B Padula, James E Sottile, Ryan Vandrey, Adrienne J Heinz, Marcel O Bonn-Miller

Open access · greenAbstract readComparative Study
In one paragraph

Article in Addictive behaviors, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 2 pooled it
9.0field-weighted citation impact, top 2% 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

85 citing papers in PubMed, 2 syntheses or guidelines pooled it, 154 citations in OpenAlex.

  1. Pooled it
  2. Highway to hell or magic smoke? The dose-dependence of ΔLearning & memory (Cold Spring Harbor, N.Y.) · 2018
    Pooled it
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  6. Neuroimmune Correlates of HIV and Marijuana Use: Peripheral Biomarkers and Cognitive Function.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2026
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25 more citing papers are in PubMed but not listed here.

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 5 institutions in 1 country.

Nancy A HaugPalo Alto University, Palo Alto, CA, USA; Stanford University School of Medicine, Department of Psychiatry and Behavioral Sciences, Palo Alto, CA, USA. Electronic address: nhaug@paloaltou.edu.
Claudia B PadulaStanford University School of Medicine, Department of Psychiatry and Behavioral Sciences, Palo Alto, CA, USA; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
James E SottilePalo Alto University, Palo Alto, CA, USA.
Ryan VandreyJohns Hopkins University School of Medicine, Baltimore, MD, USA.
Adrienne J HeinzNational Center for Posttraumatic Stress Disorder, Veterans Affairs Palo Alto Health Care System, Menlo Park, CA, USA; Center for Innovation to Implementation, Veterans Affairs Palo Alto Health Care System, Menlo Park, CA, USA.
Marcel O Bonn-MillerCenter of Excellence in Substance Abuse Treatment and Education, Philadelphia VA Medical Center, Philadelphia, PA, USA; Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Zynerba Pharmaceuticals Inc., Devon, PA, USA.
Palo Alto University · USCenter for Innovation · USJohns Hopkins Medicine · USPhiladelphia VA Medical Center · USVA Palo Alto Health Care System · US

Funding

Cognitive Remediation for Alcohol Use Disorder and Posttraumatic Stress DisorderIK2RX001492 · VA · VETERANS ADMIN PALO ALTO HEALTH CARE SYS · PI HEINZ, ADRIENNE JULIE · 2014 to 2018
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RRD VA IK2 RX001492
6 · The paper itself

Abstract

introductionMedical cannabis is increasingly being used for a variety of health conditions as more states implement legislation permitting medical use of cannabis. Little is known about medical cannabis use patterns and motives among adults across the lifespan.

methodsThe present study examined data collected at a medical cannabis dispensary in San Francisco, California. Participants included 217 medical cannabis patients who were grouped into age-defined cohorts (younger: 18-30, middle-aged: 31-50, and older: 51-72). The age groups were compared on several measures of cannabis use, motives and medical conditions using one-way ANOVAs, chi-square tests and linear regression analyses.

resultsAll three age groups had similar frequency of cannabis use over the past month; however, the quantity of cannabis used and rates of problematic cannabis use were higher among younger users relative to middle-aged and older adults. The association between age and problematic cannabis use was moderated by age of regular use initiation such that earlier age of regular cannabis use onset was associated with more problematic use in the younger users, but not among older users. Middle-aged adults were more likely to report using medical cannabis for insomnia, while older adults were more likely to use medical cannabis for chronic medical problems such as cancer, glaucoma and HIV/AIDS. Younger participants reported cannabis use when bored at a greater rate than middle-aged and older adults.

conclusionsFindings suggest that there is an age-related risk for problematic cannabis use among medical cannabis users, such that younger users should be monitored for cannabis use patterns that may lead to deleterious consequences.

Indexed as

MotivationAdaptation, PsychologicalAdolescentAdultAgedAge FactorsAge of OnsetAmbulatory CareAnalysis of VarianceFemaleHumansMaleMarijuana UseMedical MarijuanaMental DisordersMiddle AgedMedical MarijuanaAgeCannabisMarijuanaMedicalMotives

Identifiers

PMID28340421
PMCPMC5492936
OpenAlexW2591578016

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.