药物流行生物学测量的新进展。

NIDA research monograph Pub Date : 1997-01-01
E J Cone
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引用次数: 0

摘要

不同人群(如家庭成员、学生和被捕者)的药物使用情况差异很大,他们自我报告的准确性可能值得怀疑。通过对尿液、唾液、汗液和头发等生物标本进行化学药物检测,可以监测基于自我报告数据的患病率估计的准确性。每一种生物标本都是独一无二的,并提供了一种不同的关于药物使用的信息模式。此外,就从药物测试中获得的信息类型而言,每个样本都有其独特的优势和劣势。测定方法的性能特征也可能很重要。通过药物测试对自我报告数据的验证必须仔细考虑测试方法和生物标本所施加的限制。
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New developments in biological measures of drug prevalence.

Drug use among different populations such as household members, students, and arrestees vary substantially and the accuracy of their self-reports may be questionable. The accuracy of prevalence estimates based on self-report data can be monitored by chemical drug testing of biological specimens such as urine, saliva, sweat, and hair. Each biological specimen is unique and offers a somewhat different pattern of information regarding drug use over time. Also, each specimen has unique strengths and weaknesses regarding the type of information obtained from drug testing. The performance characteristics of the assay methodology may also be important. The validation of self-report data by drug testing must be performed with careful consideration of the limitations imposed by the testing methodology and the biological specimen.

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