大麻使用量测量:确定广泛的研究应用的最佳指标
Carillon J Skrzynski1, Raeghan L Mueller2, L Cinnamon Bidwell1,3
1Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA.
Addiction (Abingdon, England)
|October 10, 2025
概括
大麻数量和频率尺度 (CQFS) 更好地预测一般大麻使用生物标志物,而时间线追溯 (TLFB) 方法更优越地评估急性大麻使用. 这两种方法都显示出与THC-COOH和THC水平的不同关联.
科学领域:
- 法医毒理学 法医毒理学
- 大麻科学 大麻科学
- 公共卫生 公共卫生
背景情况:
- 大麻合法化增加了产品的可用性和使用.
- 准确测量大麻使用对于理解暴露至关重要.
- 像血液中的大麻素水平这样的生物标志物是暴露的关键指标.
研究的目的:
- 为了比较不同的大麻使用指标 (CQFS和TLFB).
- 检查这些指标与大麻生物标志物 (THC和THC-COOH) 之间的关联.
- 调查性别或年龄是否能缓和这些关联.
主要方法:
- 一项观察性研究涉及1090名常规大麻使用者.
- 使用大麻数量和频率尺度 (CQFS) 和时间线追溯 (TLFB) 收集的数据.
- 测量了血液中的delta-9四大麻 (THC) 和11-nor-9-carboxy-tetrahydrocannabinol (THC-COOH) 的水平.
主要成果:
- 与TLFB (R2=0.27) 相比,CQFS与THC-COOH (R2=0.30) 的相关性更强.
- 与CQFS (R2=0.21) 相比,TLFB与即时THC水平 (R2=0.24) 的相关性更强.
- 在男性中,CQFS总时间/天预测了THC-COOH和THC,而TLFB日/月预测了这两种生物标志物.
结论:
- CQFS是一般大麻使用模式的更好的预测器.
- 在评估最近或急性大麻使用时,TLFB方法更有效.
- 这两种方法都提供了有价值的,尽管不同,关于大麻消费和暴露的见解.
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