大麻花中主要大麻素和萜烯含量的系统组合和患者结果:大麻化学药物的警戒指数的概念验证评估。

Jacob Miguel Vigil, Sarah See Stith, Franco Brockelman, Keenan Keeling, Branden Hall
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引用次数: 1

摘要

背景:人们对大麻花中不同植物化学物质(化学药物)组合的频率知之甚少,也不清楚常见化学药物是否与不同的药效学和患者健康结果相关。本研究创建了一个临床相关的、用户友好的、可扩展的化疗药物索引系统,总结了主要大麻素和萜烯的含量,并测试了最常用的化疗药物在治疗效果和副作用方面是否存在差异。方法:在2016年10月9日至2021年11月3日期间,204人使用免费的教育类移动软件Releaf App,记录6309次实时消费,使用633种不同的大麻花产品,在用户层面上是独一无二的,并提供萜烯和大麻素效价信息。该索引系统基于产品的一级和二级萜烯含量以及四氢大麻酚(THC)和大麻二酚(CBD)效力的回顾性数据分析,共产生478种不同的化学药物。协方差分析(ANCOVAs)用于比较总体应用程序用户以及治疗慢性疼痛、抑郁或焦虑的用户在大麻消费前后五种最常见化疗药物的症状水平和副作用。结果:对5种最常使用的化疗药物的检查显示,对慢性疼痛和抑郁、焦虑的症状治疗效果有显著差异(ps)。研究结果提供了“概念证明”,即一个简单而全面的化疗药物索引系统可用于识别临床相关患者健康结果的系统差异和大麻花产品的其他共同经历,而不管产品的商业名称或品名如何。这项研究受到大麻和应用程序使用的自我选择以及缺乏用户特定信息的限制。使用该化学药物索引系统的进一步研究应评估植物化学物质的不同组合如何与用户水平特征相互作用,以产生一般和个性化的大麻消费体验和健康结果,理想情况下使用随机方法来评估不同化学药物的效果差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Systematic combinations of major cannabinoid and terpene contents in Cannabis flower and patient outcomes: a proof-of-concept assessment of the Vigil Index of Cannabis Chemovars.

Systematic combinations of major cannabinoid and terpene contents in Cannabis flower and patient outcomes: a proof-of-concept assessment of the Vigil Index of Cannabis Chemovars.

Systematic combinations of major cannabinoid and terpene contents in Cannabis flower and patient outcomes: a proof-of-concept assessment of the Vigil Index of Cannabis Chemovars.

Systematic combinations of major cannabinoid and terpene contents in Cannabis flower and patient outcomes: a proof-of-concept assessment of the Vigil Index of Cannabis Chemovars.

Background: Little is known about the frequency with which different combinations of phytochemicals (chemovars) arise in Cannabis flower or whether common chemovars are associated with distinct pharmacodynamics and patient health outcomes. This study created a clinically relevant, user-friendly, scalable chemovar indexing system summarizing primary cannabinoid and terpene contents and tested whether the most frequently consumed chemovars differ in their treatment effectiveness and experienced side effects.

Methods: Between 09/10/2016 and 03/11/2021, 204 people used the freely available, educational mobile software application, Releaf App, to record 6309 real-time consumption sessions using 633 distinct Cannabis flower products, unique at the user level, with terpene and cannabinoid potency information. The indexing system is based on retrospective data analysis of the products' primary and secondary terpene contents and tetrahydrocannabinol (THC) and cannabidiol (CBD) potencies and yielded a total of 478 distinct chemovars. Analyses of covariances (ANCOVAs) were used to compare symptom levels and side effects experienced across the five most common chemovars before and after cannabis consumption for app users overall and for those treating chronic pain and depression or anxiety.

Results: Examination of the five most frequently consumed chemovars showed significant differences in symptom treatment effectiveness for chronic pain and for depression and anxiety (ps < .001). While the effects varied in magnitude, the five chemovars were effective across conditions except for MC61 (mercene .01-0.49%/beta-caryophyllene .01 to 0.49%/THC 20-25%/CBD 0.01-1.0%), which exacerbated feelings of anxiety or depression. The chemovars also differed in their association with experiencing positive, negative, and context-specific side effects, with two chemovars, MC61 and MC62 (mercene .01-0.49%/beta-caryophyllene .01-0.49%/THC 20-25%/CBD 1-5%), generating two to three fewer positive side effects and as much as one more negative and two more context-specific side effects than the other three chemovars.

Conclusions: The findings provide "proof-of-concept" that a simple, yet comprehensive chemovar indexing system can be used to identify systematic differences in clinically relevant patient health outcomes and other common experiences across Cannabis flower products, irrespective of the product's commercial or strain name. This study was limited by self-selection into cannabis and app use and a lack of user-specific information. Further research using this chemovar indexing system should assess how distinct combinations of phytochemicals interact with user-level characteristics to produce general and individualized Cannabis consumption experiences and health outcomes, ideally using randomized methods to assess differences in effects across chemovars.

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