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Label accuracy of unregulated cannabidiol (CBD) products: measured concentration vs. label claim.

Erin JohnsonMichael KilgoreShanna Babalonis
Published in: Journal of cannabis research (2022)
These data suggest that additional regulation is required to ensure label accuracy as nearly half of the products in this study were not properly labelled (i.e., not within a ± 10% margin of error). Consumers and practitioners should remain cautious of unregulated and often-mislabeled CBD products due to the risks of taking too much CBD (e.g., drug-drug interactions, liver enzyme elevations, increased side effects) and the consequences of taking too little (e.g., no clinical benefits due to underdosing). The results of this study support the continued need for good manufacturing practices and testing standards for CBD products.
Keyphrases
  • primary care
  • healthcare
  • emergency department
  • machine learning
  • electronic health record
  • risk assessment
  • human health
  • artificial intelligence