Why the study?
Antipsychotic polypharmacy is common in schizophrenia despite lacking guideline support, and high-quality evidence-based data regarding pharmacology-based considerations to optimize its use are lacking.
This review details the pharmacological rationale, pros, and cons of antipsychotic polypharmacy in schizophrenia, with particular attention to 3rd generation dopamine D2-D3 agonists.
Requires cautious individualized assessment of antipsychotic polypharmacy in schizophrenia; extends pharmacological discussion but leaves open efficacy and safety data for D2-D3 agonists.
Antipsychotic polypharmacy/drug combination treatment (APP) is a remarkably common practice in the schizophrenia context, given the lack of general support in treatment Guidelines. There is also a vast literature on APP outcomes, but a paucity of high-quality evidence-based data to guide and optimize adequate use of APP. This seems particularly true regarding many pharmacology-based considerations involved in APP treatment strategies. This paper first briefly summarizes clinical literature related to the use of APP. Against this backdrop, the pharmacological target profile features are then described of frequently used antipsychotic agents, in relation to estimated free plasma exposure levels at clinically efficacious dosing. APP strategies based on the properties of these drugs are then scrutinized and gauged within the background literature framework. The anticipated usefulness of APP from the pharmacological standpoint is detailed regarding efficacy, adverse effect (AE)/tolerability, and safety perspective, including why, when, and how it may be used to its advantage. For the purpose, a number of theoretically beneficial combinations as well as instances with suboptimal-and even futile-APP approaches are exemplified and discussed from the rational pharmacodynamic and pharmacokinetic pros and cons point-of-view. In this exposé, particular attention is paid to the utility and features of 3rd Generation Antipsychotic dopamine (DA) D2-D3 agonists within an APP setting.
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Stephan Hjorth (2021) studied this question.
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