Literature DB >> 22081435

Biowaiver monographs for immediate-release solid oral dosage forms: quinine sulfate.

Stefanie Strauch1, Jennifer B Dressman, Vinod P Shah, Sabine Kopp, James E Polli, Dirk M Barends.   

Abstract

The biowaiver approach permits evaluation of bioequivalence (BE) using a set of laboratory tests, obviating the need for expensive and time-consuming pharmacokinetic BE studies provided that both the active pharmaceutical ingredient and the formulations can meet the specified criteria. In the present monograph, the biowaiver-relevant data including solubility and permeability data, therapeutic use and therapeutic index, pharmacokinetic properties, reported excipient interactions, and BE/bioavailability studies of quinine sulfate are itemized and discussed. Quinine sulfate has borderline solubility characteristics and, on the whole, is highly permeable. Thus, depending on the jurisdiction, it is assigned to Biopharmaceutics Classification System class I or II. Although these characteristics would suggest a low risk of bioinequivalence among oral quinine products, a recent pharmacokinetic study showed bioinequivalence of two products. Even though quinine does not, strictly speaking, fit the definition of a narrow therapeutic index drug, it shows dose-related and, in some cases, irreversible side effects and toxicities at concentrations not far above the therapeutic concentration range. Taking all relevant aspects into consideration, a biowaiver cannot be recommended for new quinine immediate-release multisource products or major post-approval changes of already marketed quinine products, and in such cases, BE should be evaluated using an in vivo BE study.
Copyright © 2011 Wiley Periodicals, Inc.

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Year:  2011        PMID: 22081435     DOI: 10.1002/jps.22810

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  3 in total

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Authors:  Habtamu Abuye; Woldemichael Abraham; Selass Kebede; Ramanjireddy Tatiparthi; Sultan Suleman
Journal:  Infect Drug Resist       Date:  2020-02-27       Impact factor: 4.003

2.  Physiologically based pharmacokinetic modeling for dose optimization of quinine-phenobarbital coadministration in patients with cerebral malaria.

Authors:  Teerachat Sae-Heng; Rajith Kumar Reddy Rajoli; Marco Siccardi; Juntra Karbwang; Kesara Na-Bangchang
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-11-23

3.  Prediction of aqueous intrinsic solubility of druglike molecules using Random Forest regression trained with Wiki-pS0 database.

Authors:  Alex Avdeef
Journal:  ADMET DMPK       Date:  2020-03-04
  3 in total

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