Literature DB >> 15907650

Pharmacokinetic-pharmacodynamic modeling of opioids.

Jörn Lötsch1.   

Abstract

The effects of opioids usually parallel the plasma concentrations but with a temporal shift. This temporal shift differs between opioids. It is small with alfentanil or remifentanil and very long with the active metabolite of morphine, morphine-6-glucuronide (M6G). The mathematical and experimental techniques for modeling these pharmacokinetic-pharmacodynamic (PK/PD) relationships were developed in the late 1970s. The delay between plasma concentrations and effects is accounted for by the introduction of a hypothetic effect compartment, which is linked to the plasma compartment by a first-order transfer function with a rate constant k(e0). The effects are then linked to the concentrations at effects site by standard pharmacodynamic models such as sigmoid ("E(max)") models or power models, depending on the actual effect measure. These principles were first applied to the opioids fentanyl and alfentanil in 1985. Since then, PK/PD of opioids have been repeatedly assessed, using EEG derived parameters, pupil size, and experimental and clinical pain as effect measures. The opioids of the fentanyl group, methadone, morphine, and piritramid, are today well characterized with respect to their PK/PD properties. Alfentanil and remifentanil are very fast equilibrating opioids with equilibration half-lives between plasma and effect site of about 1 minute. They are followed by fentanyl and sufentanil, each with equilibration half-lives of about 6 min. Methadone equilibrates with a half-life of about 8 min. Morphine, in contrast, equilibrates with a half-life of 2-3 h. The slowest opioid with respect to plasma-effect site transfer is M6G, with an equilibration half-life of about 7 h. PK/PD modeling has advanced the understanding of the time course of the clinical effects of opioids after various dosing regimens. It may provide a rational basis for the selection of opioids in clinical circumstances. PK/PD modeling of opioids may also be employed for the design and the interpretation of experiments addressing clinical effects of opioids.

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Year:  2005        PMID: 15907650     DOI: 10.1016/j.jpainsymman.2005.01.012

Source DB:  PubMed          Journal:  J Pain Symptom Manage        ISSN: 0885-3924            Impact factor:   3.612


  41 in total

Review 1.  Abuse-Deterrent Opioid Formulations: Pharmacokinetic and Pharmacodynamic Considerations.

Authors:  Carmen Walter; Claudia Knothe; Jörn Lötsch
Journal:  Clin Pharmacokinet       Date:  2016-07       Impact factor: 6.447

Review 2.  Naloxone dosage for opioid reversal: current evidence and clinical implications.

Authors:  Rachael Rzasa Lynn; J L Galinkin
Journal:  Ther Adv Drug Saf       Date:  2017-12-13

Review 3.  [Opioids in anesthesia].

Authors:  C Zöllner; M Schäfer
Journal:  Anaesthesist       Date:  2008-07       Impact factor: 1.041

4.  Induction of morphine-6-glucuronide synthesis by heroin self-administration in the rat.

Authors:  Maria Meringolo; Valentina Brusadin; Maria T De Luca; Christian Montanari; Christian L Montanari; Letizia Antonilli; Paolo Nencini; Aldo Badiani
Journal:  Psychopharmacology (Berl)       Date:  2011-10-21       Impact factor: 4.530

5.  A predictive pharmacokinetic/pharmacodynamic model of fentanyl for analgesia/sedation in neonates based on a semi-physiologic approach.

Authors:  Esther Encinas; Rosario Calvo; John C Lukas; Valvanera Vozmediano; Monica Rodriguez; Elena Suarez
Journal:  Paediatr Drugs       Date:  2013-06       Impact factor: 3.022

6.  Computational framework for predictive PBPK-PD-Tox simulations of opioids and antidotes.

Authors:  Carrie German; Minu Pilvankar; Andrzej Przekwas
Journal:  J Pharmacokinet Pharmacodyn       Date:  2019-08-08       Impact factor: 2.745

7.  A population pharmacokinetic and pharmacodynamic study of a peripheral κ-opioid receptor agonist CR665 and oxycodone.

Authors:  Anne E Olesen; Kim Kristensen; Camilla Staahl; Sherron Kell; Gilbert Y Wong; Lars Arendt-Nielsen; Asbjørn M Drewes
Journal:  Clin Pharmacokinet       Date:  2013-02       Impact factor: 6.447

8.  A Pharmacokinetic-Pharmacodynamic Model of Morphine Exposure and Subsequent Morphine Consumption in Postoperative Pain.

Authors:  Rasmus Vestergaard Juul; Joakim Nyberg; Trine Meldgaard Lund; Sten Rasmussen; Mads Kreilgaard; Lona Louring Christrup; Ulrika S H Simonsson
Journal:  Pharm Res       Date:  2016-01-11       Impact factor: 4.200

9.  Pharmacokinetics and analgesic effects of methadone in children and adults with sickle cell disease.

Authors:  Jennifer Horst; Melissa Frei-Jones; Elena Deych; William Shannon; Evan D Kharasch
Journal:  Pediatr Blood Cancer       Date:  2016-08-30       Impact factor: 3.167

10.  Sublingual sufentanil tablet system Zalviso® for postoperative analgesia after knee replacement in fast track surgery: a pilot observational study.

Authors:  Marco Scardino; Tiziana D'Amato; Federica Martorelli; Giorgia Fenocchio; Vincenzo Simili; Berardo Di Matteo; Dario Bugada; Elizaveta Kon
Journal:  J Exp Orthop       Date:  2018-03-20
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