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This study classified over 500,000 cannabis-derived products (CDPs) by type and flavor. Findings aid comparative research and market surveillance of legal cannabis products.

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Area of Science:

  • E-commerce analytics
  • Cannabis product classification
  • Market research

Background:

  • Cannabis-derived products (CDPs) are diverse and widely available.
  • A lack of research exists to classify CDPs based on e-commerce data.
  • Classification is crucial for comparative research and understanding market trends.

Purpose of the Study:

  • To analyze a large e-commerce marketplace for cannabis products.
  • To identify and characterize CDP types, flavors, and cannabinoid compounds.
  • To establish a foundation for future comparative cannabis research.

Main Methods:

  • Qualitative study involving data mining of Weedmaps e-commerce listings in the US (Sept-Nov 2023).
  • Extracted product listings and descriptions for analysis.
  • Grouped CDPs into product, flavor, and cannabinoid compound categories.

Main Results:

  • Analyzed 501,012 unique US CDP listings.
  • Common routes of administration included multisystem, respiratory, and digestive.
  • Lemon, cake, and strawberry were the most frequent flavors; Δ9-tetrahydrocannabinol was the most common cannabinoid.

Conclusions:

  • This study provides a comprehensive classification of over half a million CDPs.
  • Results support comparative studies on product availability and market characteristics.
  • Findings can inform market surveillance and policy development for legal cannabis.