Cargando…
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...
Autores principales: | , |
---|---|
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 |
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. |
---|