Evidence map›Paper›PMID 40358026›Full record

ArticleJournal of addiction medicine

Cannabis Use Disorder Among People With and Without HIV.

Danielle F Haley, Kaku So-Armah, Amy C Justice, Farah Kidwai-Khan, Ziming Xuan, Rachel Sayko Adams, Matthew P Fox, E Jennifer Edelman, Aleksandra Wrona, Michael J Silverberg and 4 more

Abstract read
In one paragraph

Article in Journal of addiction medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

14 authors.

Kaku So-Armah
Amy C Justice
Farah Kidwai-Khan
Ziming Xuan
Rachel Sayko Adams
Matthew P Fox
E Jennifer Edelman
Aleksandra Wrona
Michael J Silverberg
Derek D Satre
Adam Trickey
Suzanne M Ingle
Kathleen A McGinnis

Funding

Project-005UL1TR001430 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BAIR-MERRITT, MEGAN H, CENTER, DAVID M. · 2015 to 2024
$52.3M
Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI CURT G BECKWITH, DEBBIE M. CHENG · 1998 to 2026
$51.7M
Alcohol Associated Outcomes Among HIV+/- Aging VeteransU10AA013566 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2006 to 2010
$12.7M
The HIV and Alcohol Research center focused on Polypharmacy (HARP)P01AA029545 · NIAAA · YALE UNIVERSITY · PI EDELMAN, E. JENNIFER · 2021 to 2025
$6.3M
Sex Disparities in Overall Response to ART Among HIV Infected IndividualsU24AA020794 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2011 to 2020
$5.5M
2/3 COMpAAAS Tripartite: ART-CC, KP, and VAU01AA026230 · NIAAA · KAISER FOUNDATION RESEARCH INSTITUTE · PI SATRE, DEREK D, SILVERBERG, MICHAEL J · 2017 to 2021
$3.0M
3/3 COMpAAAS Tripartite: ART-CC, KP, and VAU01AA026224 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2017 to 2021
$2.9M
1/3 Collaborative Research in HIV/AIDS, Alcohol, and Related Comorbidities (COMpAAAS) Tripartite: ART-CC, KP, and VAU01AA026209 · NIAAA · UNIVERSITY OF BRISTOL · PI STERNE, JONATHAN · 2017 to 2021
$2.2M
Mentoring alcohol use intervention research in HIV health care settingsK24AA025703 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Derek D Satre · 2018 to 2026
$1.8M
Quantifying health policy impacts on substance use and treatment among women with and at risk for HIV: a longitudinal multilevel analysis using the Women's Interagency HIV StudyK01DA046307 · NIDA · NORTHEASTERN UNIVERSITY · PI HALEY, DANIELLE FRANCES · 2018 to 2022
$865k
NCATS NIH HHS UL1 TR001430NIAAA NIH HHS K24 AA025703NIAAA NIH HHS P01 AA029545NIAAA NIH HHS U01 AA026209NIAAA NIH HHS U01 AA026224NIAAA NIH HHS U01 AA026230NIAAA NIH HHS U10 AA013566NIAAA NIH HHS U24 AA020794NIAID NIH HHS P30 AI042853NIDA NIH HHS K01 DA046307NIH HHS U01 020790
6 · The paper itself

Abstract

objectivesIn the United States, adults aged 65 and older are the fastest-growing age group using cannabis. People living with HIV (PLWH) are an aging population with prevalent cannabis use exceeding the general population. We examined cannabis use disorder (CUD) diagnoses from 2000 to 2022, by age, race/ethnicity, sex, comorbidity, and HIV status.

methodsThis analysis (2000-2022) includes electronic health records from 185,372 individuals in the Veterans Aging Cohort Study-HIV, a national US cohort of PLWH matched 1:2 to people without HIV (PLWoH). Annual CUD diagnosis was determined by dividing the number with CUD International Classification of Diseases-Clinical Modification codes by total observations. We examined trends by age, race/ethnicity, sex, comorbidity, and HIV status graphically and with multivariable logistic models.

resultsDemographic characteristics were comparable for PLWH (n=58,959) versus PLWoH (n=126,413): 45% Black non-Hispanic (NH); 35% White NH; 7% Hispanic; 3% women, mean age 48 years. Twenty percent of PLWH had a CUD from 2000 to 2022. CUD increased in all subgroups and was consistently higher among PLWH (odds ratio=1.14 [95% CI=1.11-1.18]). Individuals 65 and older experienced the greatest relative increase: PLWH (0.9% vs. 4.0%) and PLWoH (0.03% vs. 3.15%).

conclusionsCUD increased dramatically among all subgroups over time and was higher among PLWH. CUD increase among older PLWH and those with multimorbidity is especially concerning as cannabis interacts with many prescription medications. Universal screening and treatment advances are needed, as is research characterizing patterns and modalities of cannabis use, CUD, and potential harms and benefits in PLWH and PLWoH.

Indexed as

HIV InfectionsMarijuana AbuseAdultAgedAge FactorsCohort StudiesComorbidityFemaleHumansMaleMiddle AgedPrevalenceUnited StatesVeteranscannabis use disorderHIVolder adults

Identifiers

PMID40358026
PMCPMC12673708

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.