Literature DB >> 15541258

Effect of amiodarone on the plasma levels of metoprolol.

Dierk Werner1, Henrike Wuttke, Martin F Fromm, Simon Schaefer, Thomas Eschenhagen, Kay Brune, Werner G Daniel, Ulrike Werner.   

Abstract

On average, metoprolol plasma concentration is doubled after an amiodarone loading dose (1.2 g/day over a period of 6 days). However, the individual amount of this drug interaction depends on the CYP2D6 genotype.

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Year:  2004        PMID： 15541258     DOI： 10.1016/j.amjcard.2004.07.125

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN： 0002-9149            Impact factor:   2.778


  6 in total

1.  Impact of genetic polymorphism on drug-drug interactions mediated by cytochromes: a general approach.

Authors:  Michel Tod; Christina Nkoud-Mongo; François Gueyffier
Journal:  AAPS J       Date:  2013-09-12       Impact factor: 4.009

Review 2.  Is antiarrhythmic treatment in the elderly different? a review of the specific changes.

Authors:  Vera H M Deneer; Norbert M van Hemel
Journal:  Drugs Aging       Date:  2011-08-01       Impact factor: 3.923

3.  P450-Based Drug-Drug Interactions of Amiodarone and its Metabolites: Diversity of Inhibitory Mechanisms.

Authors:  Matthew G McDonald; Nicholas T Au; Allan E Rettie
Journal:  Drug Metab Dispos       Date:  2015-08-21       Impact factor: 3.922

Review 4.  Importance of multi-p450 inhibition in drug-drug interactions: evaluation of incidence, inhibition magnitude, and prediction from in vitro data.

Authors:  Nina Isoherranen; Justin D Lutz; Sophie P Chung; Houda Hachad; Rene H Levy; Isabelle Ragueneau-Majlessi
Journal:  Chem Res Toxicol       Date:  2012-09-27       Impact factor: 3.739

5.  Clinical Pharmacokinetics of Metoprolol: A Systematic Review.

Authors:  Ammara Zamir; Iltaf Hussain; Anees Ur Rehman; Waseem Ashraf; Imran Imran; Hamid Saeed; Abdul Majeed; Faleh Alqahtani; Muhammad Fawad Rasool
Journal:  Clin Pharmacokinet       Date:  2022-06-28       Impact factor: 5.577

6.  Quantitative Prediction of Drug-Drug Interactions Involving Inhibitory Metabolites in Drug Development: How Can Physiologically Based Pharmacokinetic Modeling Help?

Authors:  I E Templeton; Y Chen; J Mao; J Lin; H Yu; S Peters; M Shebley; M V Varma
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2016-09-19
  6 in total

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