Evidence map›Paper›PMID 39603980›Full record

ArticleJournal of clinical nursing2025

A Scoping Review of Observational Research on Cannabis Use for Symptom Management in HIV and Cancer: Implications for Cannabis Nursing.

Hwayoung Cho, Elena Kalina, Jianli Wu, Robert Cook, Ramzi Salloum, Yiyang Liu, Jiang Bian, Jingchuan Guo, Angela Starkweather

Abstract readScoping Review
In one paragraph

Article in Journal of clinical nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Hwayoung ChoDepartment of Family, Community and Health System Science, College of Nursing, University of Florida, Gainesville, Florida, USA.ORCID 0000-0002-6023-5309
Elena KalinaDepartment of Health Education Behavior, College of Health and Human Performance, University of Florida, Gainesville, Florida, USA.
Jianli WuDepartment of Family, Community and Health System Science, College of Nursing, University of Florida, Gainesville, Florida, USA.
Robert CookDepartment of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Florida, USA.
Ramzi SalloumDepartment of Health Outcomes and Biomedical, College of Medicine Informatics, University of Florida, Gainesville, Florida, USA.
Yiyang LiuDepartment of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Florida, USA.
Jiang BianDepartment of Health Outcomes and Biomedical, College of Medicine Informatics, University of Florida, Gainesville, Florida, USA.
Jingchuan GuoDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
Angela StarkweatherDivision of Nursing Science, School of Nursing, Rutgers University, Newark, New Jersey, USA.

Funding

Translational Science Training to Reduce the Impact of Alcohol on HIV InfectionT32AA025877 · NIAAA · UNIVERSITY OF FLORIDA · PI Robert L Cook, DEBRA E LYON · 2018 to 2026
$3.3M
NIAAA NIH HHSNIAAA NIH HHS T32 AA025877NIH HHS
6 · The paper itself

Abstract

backgroundPeople with HIV have a higher risk of developing non-AIDS-defining cancers in older age, leading to a significant population living with two conditions, HIV and cancer. There is an increasing interest in cannabis use for symptom management in people with chronic conditions; in 2023, the American Nurses Association officially recognised cannabis nursing as a specialty nursing practice focusing on the care of individuals seeking education/guidance in the therapeutic use of cannabis, supporting the urgency of its research. However, the scientific literature lacks a synthesised review in the focused populations.

aimTo explore observational research on cannabis use for symptom management among people with HIV and/or cancer and identify gaps in current knowledge to inform future research and policy development.

methodsFollowing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) checklist, a literature search of relevant articles was conducted in the databases PubMed (n = 552), PsycInfo (n = 204), CINAHL (n = 164) and Embase (n = 976). Upon screening 1738 articles, 142 were identified for full-text review and 51 were retained for data extraction.

resultsThere were more studies evaluating cannabis use among people with cancer than with HIV and no studies among people living with comorbid HIV and cancer. Most studies were cross-sectional with limited metrics on the perceived effectiveness and safety of cannabis use for symptom management and its dosing/mode of delivery for reducing symptoms. While studies focused on cannabis therapy under the provision of healthcare providers, individuals reported obtaining information about cannabis from friends/family/the Internet. IMPLICATIONS FOR CANNABIS NURSING: This body of research could be strengthened by rigorous longitudinal study designs to build causal relationships on the therapeutic effects of cannabis use and the inclusion of reliable and valid symptom assessment measures over time, which facilitates developing clinical practice guidance and policymaking in cannabis nursing. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Indexed as

CannabisHIV InfectionsMedical MarijuanaNeoplasmsAdultFemaleHumansMaleMiddle AgedObservational Studies as TopicMedical Marijuanacancercannabinoidscannabiscannabis nursingHIVmedical marijuanascoping review

Identifiers

PMID39603980
PMCPMC11747838

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.