Evidence map›Paper›PMID 40026396›Full record

ReviewJournal of Brown hospital medicine2024

Exploring The Contours: Navigating Cannabis Use Among Older Adults.

Yoo Mee Shin, Mohamad Moussa, Joyce Akwe

Abstract readReview
In one paragraph

Review in Journal of Brown hospital medicine, 2024. 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

3 authors.

Yoo Mee ShinDivision of Hospital Medicine Emory University School of Medicine.ORCID https://orcid.org/0000-0001-8812-6684
Mohamad MoussaDivision of Hospital Medicine Emory University School of Medicine.
Joyce AkweDivision of Hospital Medicine Emory University School of Medicine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cannabis has been employed medicinally throughout history, with recent renewed interest for use due to media awareness and medical marijuana legislation. The geriatric population, identified as those 65 years of age and older, is increasingly using cannabis-derived products, has a higher likelihood of having multiple comorbidities, and is subject to polypharmacy. These individuals are at increased risk of psychiatric and other medical adverse events due to their decreased physical and cognitive reserve and changes in their physicality. Recreational use of cannabis in this population has not been well studied, but medical marijuana use has been investigated more frequently. Increased nonmedical use increases the risk of adverse health consequences. Heavy regular use can lead to cannabis use disorder (CUD), which is formerly known as cannabis abuse and dependence, and may also lead to impaired social functioning and psychiatric comorbidity. The pattern of patients admitted to hospitals has dramatically changed recently, with an increased number of elderly patients being frequently admitted. As such, due to the ease of accessing CBD, this vulnerable cohort is seen more frequently in the hospital, and we need to be more vigilant and inquire about cannabis use as we do, asking about routine medications and over-the-counter supplements. In the U.S., marijuana laws have been changing rapidly, and Americans increasingly favor legalizing cannabis for medical and recreational uses. Policymakers should ensure that training on cannabis screening and interventions for CUD are provided to clinicians to equip them better to monitor and treat patients with cannabis-related problems.

Indexed as

Cannabiselderlymarijuanaolder adults

Identifiers

PMID40026396
PMCPMC11864428

What OpenQuestion holds

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LicenceCC BY-NC
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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.