Evidence map›Paper›PMID 40592641›Full record

ArticleThe American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry2026

Agitation in Alzheimer's Disease as a Qualifying Condition for Medical Cannabis in the United States: A Brief Report on Current Trends.

Erin E Bonar, Chiu Yi Tan, Adam Patyk, Lianlian Lei, Donovan T Maust

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Article in The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

5 authors.

Erin E BonarDepartment of Psychiatry (EEB, LL, DTM), University of Michigan, Ann Arbor, MI. Electronic address: erinbona@med.umich.edu.
Chiu Yi TanSchool of Social Policy & Practice (CYT), University of Pennsylvania, Philadelphia, PA.
Adam Patyk87 Onward (AP), Taylor, MI.
Lianlian LeiDepartment of Psychiatry (EEB, LL, DTM), University of Michigan, Ann Arbor, MI.
Donovan T MaustDepartment of Psychiatry (EEB, LL, DTM), University of Michigan, Ann Arbor, MI; VA Ann Arbor Center for Clinical Management Research (DTM), Ann Arbor, MI.

Funding

Older Adults Living with Dementia and Their Informal Caregivers: Reciprocal Impacts of Caregiving and Serious Illness on Health Care OutcomesR00AG075145 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lianlian Lei · 2024 to 2026
$742k
NIA NIH HHS R00 AG075145
6 · The paper itself

Abstract

objectivesWe assessed state-level access to medical cannabis with Alzheimer's Disease and related agitation (AD) as a qualifying condition.

methodsIn 2024-2025, we examined regulatory agencies' publicly available online reports regarding medical cannabis, including use specifically for AD.

resultsOf 38 states that allow medical cannabis, 19 (50%) allow medical cannabis for AD. AD accounts for <1% of medical cannabis certifications. Some data suggest that AD as a qualifying condition is declining in states that have legalized recreational cannabis use.

conclusionsDespite limited evidence of efficacy supporting medical cannabis for AD, this remains a qualifying condition in 19 states, though it is invoked for a small minority of the population. With increasing medical and recreational cannabis access, there is a need for geriatric clinicians to assess and monitor cannabis use among the growing population of patients with AD across states with varied policies, particularly given decreases in medical program involvement.

Indexed as

Alzheimer DiseaseMedical MarijuanaPsychomotor AgitationAgedHumansUnited StatesMedical MarijuanaAlzheimer's diseaseCannabisOlder adults, Dementia

Identifiers

PMID40592641
PMCPMC13455142

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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.