Suppr超能文献

药物评估与分类程序的实验室验证研究:乙醇、可卡因和大麻。

Laboratory validation study of drug evaluation and classification program: ethanol, cocaine, and marijuana.

作者信息

Heishman S J, Singleton E G, Crouch D J

机构信息

Addiction Research Center, National Institute on Drug Abuse, Baltimore, Maryland.

出版信息

J Anal Toxicol. 1996 Oct;20(6):468-83. doi: 10.1093/jat/20.6.468.

Abstract

The Drug Evaluation and Classification (DEC) program is used by police agencies to determine if individuals are behaviorally impaired because of drug use, and, if impaired, to determine the class of drug(s) causing the impairment. Although widely used, the validity of the DEC evaluation has not been rigorously tested. The primary goal of this study was to determine the validity of the variables of the DEC evaluation in predicting whether research volunteers had been administered ethanol, cocaine, or marijuana; a secondary goal was to determine the accuracy of trained police officers (Drug Recognition Examiner, DRE) in detecting whether subjects had been dosed with ethanol, cocaine, or marijuana. Community volunteers (n = 18) with histories of drug use received ethanol (0, 0.28, 0.52 g/kg), cocaine (4, 48, 96 mg/70 kg), and marijuana (0, 1.75, 3.55% THC) in a double-blind, randomized, within-subjects design. A single drug dose or placebo was administered during each of nine experimental sessions, and blood samples were obtained before and periodically after dosing. With the exception of marijuana, plasma drug concentration was at or near the observed maximum during the DEC evaluation. The ability of the DEC evaluation to predict the intake of ethanol, cocaine, or marijuana was optimal when using 17-28 variables from the evaluation. When DREs concluded impairment was due to drugs other than ethanol, their opinions were consistent with toxicology in 44% of cases. These findings suggest that the DEC evaluation can be used to predict accurately acute administration of ethanol, cocaine, or marijuana, and that predictions of drug use may be improved if DREs focused on a subset of variables.

摘要

药物评估与分类(DEC)项目被警方机构用于确定个人是否因吸毒而行为受损,若受损,则确定导致受损的毒品类别。尽管该项目被广泛使用,但其评估的有效性尚未经过严格测试。本研究的主要目标是确定DEC评估变量在预测研究志愿者是否服用过乙醇、可卡因或大麻方面的有效性;次要目标是确定训练有素的警察(毒品识别检验员,DRE)在检测受试者是否服用过乙醇、可卡因或大麻方面的准确性。有吸毒史的社区志愿者(n = 18)在双盲、随机、受试者内设计中接受了乙醇(0、0.28、0.52 g/kg)、可卡因(4、48、96 mg/70 kg)和大麻(0、1.75、3.55% THC)。在九个实验环节的每一个环节中都给予单次药物剂量或安慰剂,并在给药前和给药后定期采集血样。除大麻外,在DEC评估期间血浆药物浓度处于或接近观察到的最大值。当使用DEC评估中的17 - 28个变量时,DEC评估预测乙醇、可卡因或大麻摄入量的能力最佳。当DRE得出受损是由乙醇以外的药物导致的结论时,他们的意见在44%的病例中与毒理学结果一致。这些发现表明,DEC评估可用于准确预测乙醇、可卡因或大麻的急性给药情况,并且如果DRE专注于一组变量子集,对药物使用的预测可能会得到改善。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验