Classifying antipsychotic agents : need for new terminology.

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Title: Classifying antipsychotic agents : need for new terminology.
Authors: Jindal RD (AUTHOR), Keshavan MS (AUTHOR), Jindal, Ripu D (AUTHOR), Keshavan, Matcheri S (AUTHOR)
Source: CNS Drugs. 2008, Vol. 22 Issue 12, p1047-1059. 13p.
Abstract: Converging data from multiple lines of research provide growing understanding of the pharmacological basis of the efficacy and tolerability of antipsychotic agents. This review highlights some of the drawbacks of the current practice of classifying antipsychotic agents into first- and second-generation agents, and argues that much of what is known about an antipsychotic agent in terms of its efficacy and tolerability can be predicted from its binding affinity at different receptors. This makes a case for a new system of classification that reflects the receptor binding affinity profiles of individual antipsychotic agents. In its quest to make a compelling case, the review provides detailed explanations for the pharmacological basis of antipsychotic efficacy, antipsychotic-induced weight gain and diabetes mellitus, cognitive effects and other adverse effects. [ABSTRACT FROM AUTHOR]
Copyright of CNS Drugs is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Classifying antipsychotic agents : need for new terminology.
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  Data: <searchLink fieldCode="AR" term="%22Jindal+RD%22">Jindal RD</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Keshavan+MS%22">Keshavan MS</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jindal%2C+Ripu+D%22">Jindal, Ripu D</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Keshavan%2C+Matcheri+S%22">Keshavan, Matcheri S</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22CNS+Drugs%22">CNS Drugs</searchLink>. 2008, Vol. 22 Issue 12, p1047-1059. 13p.
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  Data: Converging data from multiple lines of research provide growing understanding of the pharmacological basis of the efficacy and tolerability of antipsychotic agents. This review highlights some of the drawbacks of the current practice of classifying antipsychotic agents into first- and second-generation agents, and argues that much of what is known about an antipsychotic agent in terms of its efficacy and tolerability can be predicted from its binding affinity at different receptors. This makes a case for a new system of classification that reflects the receptor binding affinity profiles of individual antipsychotic agents. In its quest to make a compelling case, the review provides detailed explanations for the pharmacological basis of antipsychotic efficacy, antipsychotic-induced weight gain and diabetes mellitus, cognitive effects and other adverse effects. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of CNS Drugs is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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