San Diego Supercomputer Center, University of California, San Diego.
Global Health Policy and Data Institute, San Diego, California.
JAMA Netw Open. 2024 Oct 1;7(10):e2440376. doi: 10.1001/jamanetworkopen.2024.40376.
Cannabis-derived products (CDPs) are widely available and diverse. A classification of product and flavor types is necessary to establish a foundation for comparative research, although research aiming to classify cannabis in its variety of products, flavors, and cannabinoid compounds based on public online e-commerce data is lacking.
To analyze data from a large cannabis e-commerce marketplace to identify and characterize cannabis product types, flavors, and compound types.
DESIGN, SETTING, AND PARTICIPANTS: This qualitative study was conducted in 2 phases: (1) data mining of the cannabis e-commerce website Weedmaps for product listings in the US between September 1 and November 30, 2023 and (2) grouping CDPs into product, flavor, and cannabinoid compound categories.
Cannabis product listings.
Product listings and descriptions were extracted from the platform. Coding was performed for specific product characteristics, routes of administration (ROAs), and characterization of flavors.
A total of 573 854 unique US CDP sales listings from the platform were collected; after removing 72 842 nonconsumable items, 501 012 were analyzed. Product ROAs included multisystem (205 637 [41.04%]), respiratory (185 296 [36.98%]), digestive (98 941 [19.75%]), epidermal (9487 [1.89%]), and oral (1651 [0.33%]). Nearly half (210 575 [42.03%]) of all product listings included at least 1 flavor, with 247 762 instances of flavors. The 3 most common flavors were lemon (22 106 [8.92%]), cake (19 463 [7.86%]), and strawberry (13 961 [5.63%]). The most common cannabinoid compound type was Δ9-tetrahydrocannabinol (54 699 [63.30%]).
This qualitative study categorized more than half a million CDPs for product and flavor types. Results are needed for comparative studies on product and market availability and can help in assessing concerns about appealing characteristics. The results can also inform future market surveillance efforts aimed at identifying new and emerging products as cannabis policy continues to move toward greater legalization.
大麻衍生产品（CDP）广泛可用且种类繁多。为了建立比较研究的基础，有必要对产品和口味类型进行分类，尽管缺乏基于公共在线电子商务数据对大麻的各种产品、口味和大麻素化合物进行分类的研究。
分析来自大型大麻电子商务市场的数据，以识别和描述大麻产品类型、口味和化合物类型。
设计、设置和参与者：这项定性研究分两个阶段进行：（1）在 2023 年 9 月 1 日至 11 月 30 日期间对大麻电子商务网站 Weedmaps 进行数据挖掘，以获取美国的产品清单；（2）将 CDP 归入产品、口味和大麻素化合物类别。
大麻产品清单。
从平台上提取产品清单和说明。对特定产品特征、给药途径（ROA）和口味特征进行编码。
共从平台上收集了 573854 个独特的美国 CDP 销售清单；去除 72842 个非消耗品后，分析了 501012 个。产品 ROA 包括多系统（205637[41.04%]）、呼吸（185296[36.98%]）、消化（98941[19.75%]）、表皮（9487[1.89%]）和口服（1651[0.33%]）。近一半（210575[42.03%]）的所有产品清单至少包含 1 种口味，有 247762 种口味实例。最常见的三种口味是柠檬（22106[8.92%]）、蛋糕（19463[7.86%]）和草莓（13961[5.63%]）。最常见的大麻素化合物类型是 Δ9-四氢大麻酚（54699[63.30%]）。
这项定性研究对产品和口味类型进行了分类，超过了 50 多万个 CDP。需要对产品和市场供应情况进行比较研究，以帮助评估引人关注的特征方面的问题。研究结果还可以为未来的市场监测工作提供信息，目的是识别新出现的产品，因为大麻政策继续朝着更大的合法化方向发展。
