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A cannabis oracle? Delphi method not a substitute for randomized controlled trials of cannabinoids as therapeutics

BACKGROUND: With millions of people using cannabinoids to treat a host of medical conditions, clinicians want guidance on how to utilize cannabinoids as pharmacotherapy in their practices. The Delphi method is a systematic, interactive forecasting method that aims to develop consensus best practices...

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Detalles Bibliográficos
Autores principales: Hill, Kevin P., Abrams, Donald I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8254257/
https://www.ncbi.nlm.nih.gov/pubmed/34215325
http://dx.doi.org/10.1186/s42238-021-00074-0
Descripción
Sumario:BACKGROUND: With millions of people using cannabinoids to treat a host of medical conditions, clinicians want guidance on how to utilize cannabinoids as pharmacotherapy in their practices. The Delphi method is a systematic, interactive forecasting method that aims to develop consensus best practices where guidelines are not available. BODY: A multidisciplinary group of global cannabinoid experts utilized a modified Delphi process to develop three protocols for the dosing and administration of cannabinoids to treat chronic pain. Two protocols recommend cannabidiol (CBD), for which there is limited evidence as an analgesic, starting well below doses required for other indications. Guidance on prescribing CBD for pain may demonstrate consensus recommendations based upon suboptimal evidence. CONCLUSION: Consensus processes like the Delphi method are well-meaning, but they are not a substitute for rigorous RCTs with large sample sizes, adequate duration, and standardized outcome measures.