A visual guide to expected blood levels of long-acting injectable risperidone in clinical practice

Journal Article

Objective. Risperidone is the only second-generation (atypical) antipsychotic medication available in a long-acting injectable formulation. The mechanism of drug delivery and the pharmacokinetics of this medication are distinctively different from the first-generation injectable depot medications. Antipsychotic blood levels have been reported in carefully managed single-dose and multiple-dose studies of long-acting risperidone. However, there have been no studies of blood levels produced by the variability in doses and schedules that may occur in clinical practice. Mathematical modeling allows for estimation of blood levels in a variety of clinical scenarios that have yet to be studied empirically. This paper presents mathematically modeled representations of antipsychotic blood levels in clinical situations with long-acting risperidone, with the goal of helping professionals, patients, and family members make informed decisions regarding treatment. Methods. A model of single-dose pharmacokinetics was derived from a published, empirical single-dose study. The model was used to prepare graphs of expected multiple-dose schedules consistent with clinical situations, using empirically validated assumptions. Results. The model was validated by comparison of the results of multiple-dose modeling with published empirical multi-dose data. Graphs of expected blood levels in several clinical situations are presented. Future empirical studies are required to fully validate these results. Conclusions. Mathematical models of antipsychotic blood levels in various common situations allow a better appreciation of the novel pharmacokinetics of long-acting injectable risperidone, which may lead to more informed decision-making.

Full Text

Duke Authors

Cited Authors

  • Wilson, WH

Published Date

  • 2004

Published In

Volume / Issue

  • 10 / 6

Start / End Page

  • 393 - 401

International Standard Serial Number (ISSN)

  • 1527-4160

Digital Object Identifier (DOI)

  • 10.1097/00131746-200411000-00009