Literature DB >> 15151520

Population pharmacokinetics of (R)-, (S)- and rac-methadone in methadone maintenance patients.

David J R Foster1, Andrew A Somogyi, Jason M White, Felix Bochner.   

Abstract

AIM: To construct a population pharmacokinetic model for methadone enantiomers in the setting of methadone maintenance treatment for opioid dependence.
METHODS: A population pharmacokinetic model was developed using P-Pharm software for rac-, (R)- and (S)-methadone using data (8-13 plasma samples per subject) obtained from 59 methadone maintenance patients during one interdosing interval at steady state. The patients were randomly assigned to either a development (n = 38) or a validation dataset (n = 21). The model was refined by inclusion of all subjects to construct a final basic model, which was used to construct a covariate model.
RESULTS: A population-based two-compartment open model with first-order absorption and lag time was developed and validated for all analytes. The population geometric mean (coefficient of variation) of maximum a posteriori probability Bayesian estimated values for clearance, terminal half-life and volume of distribution at steady-state of the active (R)-enantiomer were 8.7 (42%) l h(-1), 51 (45%) h and 597 (45%) l, respectively. For all analytes, the volume of the central compartment was decreased with increasing plasma alpha(1)-acid glycoprotein concentration and was lower in females, while the delay in absorption was longer at higher doses. No covariates were identified for apparent oral clearance. The apparent oral clearance of (R)-methadone (geometric mean ratio; 95% confidence interval) was 105% (99, 110), that of (S)-methadone (P = 0.19), while (R)-methadone V(c)/F (154%; 151, 157), V(dss) /F (173%; 164, 183), t(1/2beta) (162%; 153, 172) and mean residence time (166%; 156, 176) were significantly greater (P < 0.0001) than for (S)-methadone. The population pharmacokinetic models were able to predict accurately oral clearance values from limited (one or two samples) blood sampling protocols.
CONCLUSIONS: The substantial stereoselectivity in methadone disposition reinforces the potential for misinterpretation of racemic methadone disposition data. The marked interindividual variability in (R)-methadone clearance, with no covariates identified, highlights the need for alternative methods to determine an individual's metabolic clearance. The ability to predict (R)-methadone clearance from one to two blood samples at steady state may prove clinically useful if a drug-drug interaction or poor adherence are suspected and guide the prescriber in deciding if a client's request for a dose increase is warranted or whether an alternative opioid would be more appropriate.

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Year:  2004        PMID: 15151520      PMCID: PMC1884530          DOI: 10.1111/j.1365-2125.2004.02079.x

Source DB:  PubMed          Journal:  Br J Clin Pharmacol        ISSN: 0306-5251            Impact factor:   4.335


  42 in total

Review 1.  Interindividual variability of the clinical pharmacokinetics of methadone: implications for the treatment of opioid dependence.

Authors:  Chin B Eap; Thierry Buclin; Pierre Baumann
Journal:  Clin Pharmacokinet       Date:  2002       Impact factor: 6.447

2.  Methylnaltrexone for reversal of constipation due to chronic methadone use: a randomized controlled trial.

Authors:  C S Yuan; J F Foss; M O'Connor; J Osinski; T Karrison; J Moss; M F Roizen
Journal:  JAMA       Date:  2000-01-19       Impact factor: 56.272

3.  Effects of liver disease on fecal excretion of methadone and its unconjugated metabolites in maintenance patients. Quantitation by direct probe chemical ionization mass spectrometry.

Authors:  M J Kreek; F A Bencsath; A Fanizza; F H Field
Journal:  Biomed Mass Spectrom       Date:  1983-10

4.  Some suggestions for measuring predictive performance.

Authors:  L B Sheiner; S L Beal
Journal:  J Pharmacokinet Biopharm       Date:  1981-08

5.  Fluvoxamine and fluoxetine do not interact in the same way with the metabolism of the enantiomers of methadone.

Authors:  C B Eap; G Bertschy; K Powell; P Baumann
Journal:  J Clin Psychopharmacol       Date:  1997-04       Impact factor: 3.153

6.  Stereoselective quantification of methadone and its major oxidative metabolite, 2-ethylidene-1,5-dimethyl-3,3-diphenylpyrrolidine, in human urine using high-performance liquid chromatography.

Authors:  D J Foster; A A Somogyi; F Bochner
Journal:  J Chromatogr B Biomed Sci Appl       Date:  2000-07-07

7.  The secretion of methadone and its major metabolite in the gastric juice of humans: comparison with blood and salivary concentrations.

Authors:  R K Lynn; G D Olsen; R M Leger; W P Gordon; R G Smith; N Gerber
Journal:  Drug Metab Dispos       Date:  1976 Sep-Oct       Impact factor: 3.922

8.  Plasma concentrations of the enantiomers of methadone and therapeutic response in methadone maintenance treatment.

Authors:  C B Eap; M Bourquin; J Martin; J Spagnoli; S Livoti; K Powell; P Baumann; J Déglon
Journal:  Drug Alcohol Depend       Date:  2000-12-22       Impact factor: 4.492

9.  Cytochrome P4503A4 metabolic activity, methadone blood concentrations, and methadone doses.

Authors:  Marc Shinderman; Sarz Maxwell; Marlyse Brawand-Amey; Kerry Powell Golay; Pierre Baumann; Chin B Eap
Journal:  Drug Alcohol Depend       Date:  2003-03-01       Impact factor: 4.492

10.  Effects of liver disease on urinary excretion of methadone and metabolites in maintenance patients: quantitation by direct probe chemical ionization mass spectrometry.

Authors:  M J Kreek; F A Bencsath; F H Field
Journal:  Biomed Mass Spectrom       Date:  1980-09
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  28 in total

1.  Pharmacokinetics of a new immediate-release methadone tablet formulation with decreased in vitro solubility.

Authors:  Robert K Vinson
Journal:  Clin Drug Investig       Date:  2012-07-01       Impact factor: 2.859

2.  Lack of indinavir effects on methadone disposition despite inhibition of hepatic and intestinal cytochrome P4503A (CYP3A).

Authors:  Evan D Kharasch; Pamela Sheffels Bedynek; Christine Hoffer; Alysa Walker; Dale Whittington
Journal:  Anesthesiology       Date:  2012-02       Impact factor: 7.892

3.  No Clinically Relevant Drug-Drug Interactions between Methadone or Buprenorphine-Naloxone and Antiviral Combination Glecaprevir and Pibrentasvir.

Authors:  Matthew P Kosloski; Weihan Zhao; Armen Asatryan; Jens Kort; Pierre Geoffroy; Wei Liu
Journal:  Antimicrob Agents Chemother       Date:  2017-09-22       Impact factor: 5.191

4.  Predicting nonlinear pharmacokinetics of omeprazole enantiomers and racemic drug using physiologically based pharmacokinetic modeling and simulation: application to predict drug/genetic interactions.

Authors:  Fang Wu; Lu Gaohua; Ping Zhao; Masoud Jamei; Shiew-Mei Huang; Edward D Bashaw; Sue-Chih Lee
Journal:  Pharm Res       Date:  2014-03-04       Impact factor: 4.200

5.  Within- and between- subject variability in methadone pharmacokinetics and pharmacodynamics in methadone maintenance subjects.

Authors:  Julia Hanna; David J R Foster; Amy Salter; Andrew A Somogyi; Jason M White; Felix Bochner
Journal:  Br J Clin Pharmacol       Date:  2005-10       Impact factor: 4.335

6.  Estimated infant exposure to enantiomer-specific methadone levels in breastmilk.

Authors:  Debra L Bogen; James M Perel; Joseph C Helsel; Barbara H Hanusa; Matthew Thompson; Katherine L Wisner
Journal:  Breastfeed Med       Date:  2011-02-24       Impact factor: 1.817

Review 7.  Pharmacogenetics of Methadone Response.

Authors:  Francina Fonseca; Marta Torrens
Journal:  Mol Diagn Ther       Date:  2018-02       Impact factor: 4.074

8.  The acute disposition of (R)- and (s)-methadone in brain and lung of sheep.

Authors:  David J R Foster; Richard N Upton; Andrew A Somogyi; Cliff Grant; Allison Martinez
Journal:  J Pharmacokinet Pharmacodyn       Date:  2005-08       Impact factor: 2.745

9.  Differential in vitro inhibition of M3G and M6G formation from morphine by (R)- and (S)-methadone and structurally related opioids.

Authors:  Glynn A Morrish; David J R Foster; Andrew A Somogyi
Journal:  Br J Clin Pharmacol       Date:  2006-03       Impact factor: 4.335

10.  Cannabis and benzodiazepines as determinants of methadone trough plasma concentration variability in maintenance treatment: a transnational study.

Authors:  Richard Hallinan; Séverine Crettol; Kingsley Agho; John Attia; Jacques Besson; Marina Croquette-Krokar; Robert Hämmig; Jean-Jacques Déglon; Andrew Byrne; John Ray; Andrew A Somogyi; Chin B Eap
Journal:  Eur J Clin Pharmacol       Date:  2009-07-29       Impact factor: 2.953

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