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戒断方治疗海洛因依赖60例临床研究报告
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作者 杨道南 雷希龄 +5 位作者 蔡植 徐沙辉 温屯清 李孝君 魏干凡 杨少锋 《中国中医药科技》 CAS 1997年第3期178-180,共3页
贩毒、吸毒近10年来迅速蔓延,仅95年度长沙市戒毒所就收治吸毒者达500人次之多。对海洛因依赖戒断症状的治疗,目前主要以西医西药为主,中药还处于辅助治疗阶段,我们在总结去年辨证使用中药治疗海洛因依赖的基础上,学习仲景等名家中医理... 贩毒、吸毒近10年来迅速蔓延,仅95年度长沙市戒毒所就收治吸毒者达500人次之多。对海洛因依赖戒断症状的治疗,目前主要以西医西药为主,中药还处于辅助治疗阶段,我们在总结去年辨证使用中药治疗海洛因依赖的基础上,学习仲景等名家中医理论,认识到吸毒成瘾者所表现的戒断症状主要病机是肺脾肾阳气衰微,阴寒内盛所致。故拟定戒断方以振奋肺脾肾三阳以达消除戒断症状的目的。本研究采用单盲法,随机分组,用快速无瘾戒毒片为对照,戒断方使用简单方便,不需打针输液,用药安全,无副作用。现将研究结果报告如下。 展开更多
关键词 戒断方 中医药疗法 海洛因依赖 吸毒
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THERAPEUTIC EFFECT OF ABSTINENCE CAPSULE ON WITHDRAWAL SYMPTOMS OF HEROIN ADDICTS
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作者 杨晓松 毛超 +7 位作者 景凤标 朱光荣 杨洁 刘桂华 方志梅 李云飞 曹晓斌 刘煜 《Journal of Traditional Chinese Medicine》 SCIE CAS CSCD 1999年第4期243-249,共7页
435 heroin addicts were treated for 10 days to evaluate the therapeutic effectiveness ofabstinence capsule on heroin withdrawal symptoms and its main adverse actions.Lofexidine was applied in a control group of 48 add... 435 heroin addicts were treated for 10 days to evaluate the therapeutic effectiveness ofabstinence capsule on heroin withdrawal symptoms and its main adverse actions.Lofexidine was applied in a control group of 48 addicts.The single blind method and somedetermination methods used internationally were employed to evaluate the therapeuticeffectiveness and adverse actions of the drugs.The results showed that the abstinence capsulehas better therapeutic effectiveness,with less adverse actions,wider safety range,longer timeof action and less cost than lofexidine. 展开更多
关键词 ADOLESCENT ADULT CAPSULES Drugs Chinese Herbal Female Heroin Dependence Humans Male Single-Blind Method Substance Withdrawal Syndrome
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Markov Chain Model for Smoking Cessation Treatment
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作者 Dmitry Khramtsov Galina Sakharova +1 位作者 Nikolay Antonov Victoria Donitova 《Journal of Mathematics and System Science》 2014年第11期695-699,共5页
Probabilistic models are commonly used in computational medicine for diagnostics. Smoking cessation is an important issue of modern medicine. According to statistics about third part of male in global population are s... Probabilistic models are commonly used in computational medicine for diagnostics. Smoking cessation is an important issue of modern medicine. According to statistics about third part of male in global population are smokers. It is important to develop new approaches for smoking cessation treatment including methods of early diagnosis and development of individual treatment programs for each patient according to his or her physical peculiarities. One of the promising methods is computerized approach for tobacco treatment including electronic survey and computer data analysis. In this work we propose a probabilistic model based on Markov chain for estimation of patient behavior in the process on medical survey. This analysis can help to find out patient's individual characteristics and develop effective personal treatment program. Based on probabilistic model software was developed with aim to enhance diagnosis and developing individual smoking cessation treatment programs for each patient. 展开更多
关键词 Computational medicine decision rule Markov chain PROBABILITY
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