Journal of Cannabis Research (Sep 2022)

Medical cannabis authorization patterns, safety, and associated effects in older adults

  • Laura MacNair,
  • Maja Kalaba,
  • Erica N. Peters,
  • Matthew T. Feldner,
  • Graham M. L. Eglit,
  • Lucile Rapin,
  • Cynthia El Hage,
  • Erin Prosk,
  • Mark A. Ware

DOI
https://doi.org/10.1186/s42238-022-00158-5
Journal volume & issue
Vol. 4, no. 1
pp. 1 – 10

Abstract

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Abstract Background Use of medical cannabis is increasing among older adults. However, few investigations have examined cannabis use in this population. Methods We assessed the authorization patterns, safety, and effects of medical cannabis in a sub-analysis of 201 older adults (aged ≥ 65 years) who completed a 3-month follow-up during this observational study of patients who were legally authorized a medical cannabis product (N = 67). Cannabis authorization patterns, adverse events (AEs), Edmonton Symptom Assessment Scale-revised (ESAS-r), and Brief Pain Inventory Short Form (BPI-SF) data were collected. Results The most common symptoms for which medical cannabis was authorized were pain (159, 85.0%) and insomnia (9, 4.8%). At baseline and at the 3-month follow-up, cannabidiol (CBD)-dominant products were authorized most frequently (99, 54%), followed by balanced products (76, 42%), and then delta-9-tetrahydrocannabinol (THC)-dominant products (8, 4.4%). The most frequent AEs were dizziness (18.2%), nausea (9.1%), dry mouth (9.1%), and tinnitus (9.1%). Significant reductions in ESAS-r scores were observed over time in the domains of drowsiness (p = .013) and tiredness (p = .031), but not pain (p = .106) or well-being (p = .274). Significant reductions in BPI-SF scores over time were observed for worst pain (p = .010), average pain (p = .012), and overall pain severity (p = 0.009), but not pain right now (p = .052) or least pain (p = .141). Conclusions Overall, results suggest medical cannabis was safe, well-tolerated, and associated with clinically meaningful reductions in pain in this sample of older adults. However, the potential bias introduced by the high subject attrition rate means that all findings should be interpreted cautiously and confirmed by more rigorous studies.

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