Suppr超能文献

主观效应测量在评估药物对人类滥用可能性中的作用。

Utility of subjective-effects measurements in assessing abuse liability of drugs in humans.

作者信息

Fischman M W, Foltin R W

机构信息

Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205.

出版信息

Br J Addict. 1991 Dec;86(12):1563-70. doi: 10.1111/j.1360-0443.1991.tb01749.x.

Abstract

Estimates of the likelihood that a drug will be abused have generally been based on the subjective effects engendered by that drug. With the development of standardized subjective effects questionnaires in the 1960s and 1970s, researchers have been able to carefully evaluate self-reported effects of drugs, generally making measures before and repeatedly after administration of a single dose of drug. The use of multiple doses under controlled laboratory conditions in which physiological measures are also taken, and both the investigator and the subject are blind to the dose administered, has been suggested as most likely to yield useful data about the abuse liability of a test compound. Although questions remain about the specific subjective effects measures to be used, there has been general agreement among researchers in this area that scores on scales from the Profile of Mood States, Addiction Research Center Inventory, and Visual Analog Scales which include measures of 'high' or 'liking' all provide predictive utility. The addition of a measure of actual drug-taking to this predictive model appears to provide important information about the conditions under which these two behaviors (self-reported effects and drug self-administration) vary, and strengthens the model substantially.

摘要

对一种药物被滥用可能性的估计通常基于该药物产生的主观效应。随着20世纪60年代和70年代标准化主观效应问卷的发展,研究人员能够仔细评估药物的自我报告效应,通常在单次给药前和给药后多次进行测量。有人建议,在受控实验室条件下使用多剂量,同时也进行生理测量,并且研究者和受试者都对所给药的剂量不知情,这样最有可能得出关于受试化合物滥用可能性的有用数据。尽管对于要使用的具体主观效应测量方法仍存在疑问,但该领域的研究人员普遍认为,情绪状态剖面图、成瘾研究中心量表和视觉模拟量表中的量表得分,其中包括“兴奋”或“喜好”的测量,都具有预测效用。在这个预测模型中加入实际药物服用的测量似乎能提供关于这两种行为(自我报告效应和药物自我给药)在何种情况下变化的重要信息,并显著加强该模型。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验