Seven Mechanistically Different Classes of Medications Can Be Used to Treat Insomnia and Related Sleep Disorders

Author:

Preskorn Sheldon H.

Abstract

This column reviews the neurobiology of the sleep-wake cycle as it is currently known, the 7 classes of currently available sleep-enhancing medications, and how their mechanisms of action relate to the neurobiology of sleep. Clinicians can use this information to select medications for their patients, which is particularly important because some patients respond to some of these medications but not others, or tolerate some but not others. This knowledge can also help the clinician switch among classes when a medication that was initially efficacious begins to fail a patient. It can also prevent the clinician from cycling through all of the members of a single medication class. Such a strategy is unlikely to be helpful for a patient except in the situation in which pharmacokinetic differences among members of the medication class result in some agents in that class being helpful for a patient who has either a delayed onset of action or undesirable carry-over effects with other agents in that class. An understanding of the classes of sleep-enhancing medications highlights the importance of knowing the neurobiology that underlies a psychiatric illness. The activity of a number of neurobiological circuits, such as the one reviewed in this column, has now been well established, while work to understand others is still at a much earlier stage. Psychiatrists who gain an understanding of such circuits will be better able to provide effective care for their patients.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3