关键词: Cannabis THC measurement quantity survey

Mesh : Humans Female Adult Male Cannabis Hallucinogens Surveys and Questionnaires Cannabinoid Receptor Agonists Flowers Dronabinol

来  源:   DOI:10.1080/00952990.2023.2246635   PDF(Pubmed)

Abstract:
Background: Researchers need accurate measurements of cannabis consumption quantities to assess risks and benefits. Survey methods for measuring cannabis flower and concentrate quantities remain underdeveloped.Objective: We examined \"grams\" and \"hits\" units for measuring flower and concentrate quantities, and calculating milligrams of THC (mgTHC).Methods: Online survey participants (n = 2,381) reported preferred unit (hits or grams), past-week hits and grams for each product, and product %THC. Quantile regression compared mgTHC between unit-preference subgroups. Hits-based mgTHC calculations assumed a universal grams-per-hit ratio (GPHR). To examine individualized GPHRs, we tested a \"two-item approach,\" which divided total grams by total hits, and \"one-item approach,\" which divided 0.5 grams by responses to the question: \"How many total hits would it take you to finish 1/2 g of your [product] by [administration method]?\"Results: Participants were primarily daily consumers (77%), 50% female sex, mean age 39.0 (SD 16.4), 85% White, 49% employed full-time. Compared to those who preferred the hits unit, those who preferred the grams unit reported consuming more hits and grams, higher %THC products, and consequently, larger median mgTHC (flower-hits mgTHC: 32 vs. 91 (95%CI: 52-67); flower-grams mgTHC: 27 vs. 113 (95%CI: 73-95); concentrate-hits mgTHC: 29 vs. 59 (95%CI: 15-43); concentrate-grams mgTHC: 61 vs. 129 (95%CI: 43-94)). \"Two-item\" and \"one-item\" approach GPHRs were similar and frequently 50% larger or smaller than the universal GPHR.Conclusion: Allowing respondents to choose \"hits\" or \"grams\" when reporting cannabis quantities does not compromise mgTHC estimates. A low-burden, one-item approach yields individualized \"hit sizes\" that may improve mgTHC estimates.
摘要:
背景:研究人员需要准确测量大麻消费量以评估风险和收益。测量大麻花和精矿数量的调查方法仍然不发达。目标:我们检查了测量花和浓缩物数量的“克”和“命中”单位,计算THC(mgTHC)的毫克数。方法:在线调查参与者(n=2,381)报告了首选单位(点击量或克数),每种产品过去一周的点击量和克数,和产品%THC。分位数回归比较了单位偏好亚组之间的mgTHC。基于命中的mgTHC计算假设通用的每命中克数比(GPHR)。为了检查个性化的GPHR,我们测试了“两项方法”,“将总克数除以总点击数,和“一项法”,“将0.5克除以对以下问题的回答:“通过[管理方法]完成1/2克[产品]需要多少总点击量?”结果:参与者主要是日常消费者(77%),50%的女性,平均年龄39.0(SD16.4),85%白色49%全职工作。与那些喜欢点击的人相比,那些喜欢克单位的人报告消耗更多的点击和克,更高的%THC产品,因此,mgTHC中位数较大(花命中mgTHC:32vs.91(95CI:52-67);花克mgTHC:27vs.113(95CI:73-95);集中命中mgTHC:29vs.59(95CI:15-43);浓缩克mgTHC:61vs.129(95CI:43-94))。“两项”和“一项”方法的GPHR相似,通常比通用GPHR大或小50%。结论:允许受访者在报告大麻数量时选择“命中”或“克”不会影响mgTHC的估计。低负担,一项方法产生个性化的“命中大小”,可能会改善mgTHC估计。
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