Evidence map›Paper›PMID 38837159›Full record

ArticleJAMA network open2024

Cannabis Use Reported by Patients Receiving Primary Care in a Large Health System.

Lillian Gelberg, Dana Beck, Julia Koerber, Whitney N Akabike, Lawrence Dardick, Clara Lin, Steve Shoptaw, Marjan Javanbakht

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
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  9. Article
  10. Cannabis Use Among Older Adults.JAMA network open · 2025
    Article
  11. 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

8 authors.

Lillian GelbergDepartment of Family Medicine, UCLA David Geffen School of Medicine, Los Angeles, California.
Dana BeckUCLA School of Nursing, Los Angeles, California.
Julia KoerberDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, California.
Whitney N AkabikeDepartment of Family Medicine, UCLA David Geffen School of Medicine, Los Angeles, California.
Lawrence DardickDepartment of Internal Medicine, UCLA David Geffen School of Medicine, Los Angeles, California.
Clara LinDepartment of Internal Medicine, UCLA David Geffen School of Medicine, Los Angeles, California.
Steve ShoptawDepartment of Family Medicine, UCLA David Geffen School of Medicine, Los Angeles, California.
Marjan JavanbakhtDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, California.

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Scientific and Technical CoreP2CHD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Martha Jane Bailey · 2016 to 2026
$6.9M
NCATS NIH HHS UL1 TR001881NICHD NIH HHS P2C HD041022
6 · The paper itself

Abstract

Importance: Despite the changing legal status of cannabis and the potential impact on health, few health systems routinely screen for cannabis use, and data on the epidemiology of cannabis use, and especially medical cannabis use among primary care patients, are limited. Objective: To describe the prevalence of, factors associated with, and reasons for past-3 month cannabis use reported by primary care patients. Design, Setting, and Participants: This cross-sectional study used electronic health record data from patients aged 18 years and older who had an annual wellness visit between January 2021 and May 2023 from a primary care clinic within a university-based health system in Los Angeles, California. Exposures: Factors of interest included age, race and ethnicity, sex, employment status, and neighborhood Area Deprivation Index (ADI). Main Outcomes and Measures: Cannabis use was assessed using the Alcohol Substance Involvement Screening Test (ASSIST). Patients were also asked about reasons for use, symptoms for which they used cannabis, and mode of use. Results: Among the 175 734 patients screened, the median (range) age was 47 (18-102) years; 101 657 (58.0%) were female; 25 278 (15.7%) were Asian, 21 971 (13.7%) were Hispanic, and 51 063 (31.7%) were White. Cannabis use was reported by 29 898 (17.0%), with 10 360 (34.7%) having ASSIST scores indicative of moderate to high risk for cannabis use disorder (CUD). Prevalence of cannabis use was higher among male patients than female patients (14 939 [20.0%] vs 14 916 [14.7%]) and younger patients (18-29 years, 7592 [31.0%]; ≥60 years, 4200 [8.5%]), and lower among those who lived in the most disadvantaged neighborhoods (ADI decile 9-10, 189 [13.8%]; ADI decile 1-2, 12 431 [17.4%]). The most common modes of use included edibles (18 201 [61.6%]), smoking (15 256 [51.7%]), and vaporizing (8555 [29.0%]). While 4375 patients who reported using cannabis (15.6%) did so for medical reasons only, 21 986 patients (75.7%) reported using cannabis to manage symptoms including pain (9196 [31.7%]), stress (14 542 [50.2%]), and sleep (16 221 [56.0%]). The median (IQR) number of symptoms managed was 2 (1-4), which was higher among patients who were at moderate to high risk for CUD (4 [2-6] symptoms). Conclusions and Relevance: In this study, cannabis use and risk of CUD were common, and more than three-quarters of patients who reported any cannabis use reported doing so to manage a health-related symptom. These findings suggest that integration of information regarding cannabis use for symptom management could help provide a crucial point-of-care opportunity for clinicians to understand their patients' risk for CUD.

Indexed as

Primary Health CareAdolescentAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansLos AngelesMaleMarijuana UseMiddle AgedPrevalenceYoung Adult

Identifiers

PMID38837159
PMCPMC11154156

What Socratic holds

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LicenceCC BY
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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 Socratic graph.