Semimechanistic Population Pharmacokinetic Model to Predict the Drug-Drug Interaction Between S -ketamine and Ticlopidine in Healthy Human Volunteers-Reference-Cited by-同舟云学术

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Semimechanistic Population Pharmacokinetic Model to Predict the Drug-Drug Interaction Between S -ketamine and Ticlopidine in Healthy Human Volunteers

Published:2018-09-10 Issue:10 Volume:7 Page:687-697
ISSN:2163-8306
Container-title:CPT: Pharmacometrics & Systems Pharmacology
language:en
Short-container-title:CPT Pharmacometrics Syst. Pharmacol.

Author:

Ashraf Muhammad W.¹,Peltoniemi Marko A.¹²,Olkkola Klaus T.³,Neuvonen Pertti J.⁴,Saari Teijo I.¹²

Affiliation:

1. Department of Anesthesiology and Intensive Care; University of Turku; Turku Finland

2. Division of Perioperative Services, Intensive Care and Pain Medicine; Turku University Hospital; Turku Finland

3. Department of Anesthesiology, Intensive Care and Pain Medicine; University of Helsinki and Helsinki University Hospital; Helsinki Finland

4. Department of Clinical Pharmacology; University of Helsinki and Helsinki University Hospital; Helsinki Finland

Funder

Turku University Foundation

Turun Yliopisto

Varsinais-Suomen Sairaanhoitopiiri

Publisher

Wiley

Subject

Pharmacology (medical),Modeling and Simulation

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/psp4.12346/fullpdf

Reference45 articles.

1. Efficacy of opioids for chronic pain: a review of the evidence;Ballantyne;Clin. J. Pain,2008

2. The opioid crisis: a comprehensive overview;Vadivelu;Curr. Pain Headache Rep.,2018

3. Ketamine pharmacology: an update (pharmacodynamics and molecular aspects, recent findings);Mion;CNS Neurosci. Ther.,2013

4. Use of oral ketamine in chronic pain management: a review;Blonk;Eur. J. Pain,2010

5. Ketamine-a narrative review of its uses in medicine;Radvansky;Am. J .Ther.,2016

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2. Individual dose recommendations for drug interaction between tacrolimus and voriconazole in adult liver transplant recipients: A semiphysiologically based population pharmacokinetic modeling approach;European Journal of Pharmaceutical Sciences;2023-05

3. DAEM: Deep attributed embedding based multi-task learning for predicting adverse drug–drug interaction;Expert Systems with Applications;2023-04

4. Pharmacogenetic and drug interaction aspects on ketamine safety in its use as antidepressant ‐ implications for precision dosing in a global perspective;British Journal of Clinical Pharmacology;2022-08-05

5. S-Ketamine Oral Thin Film—Part 1: Population Pharmacokinetics of S-Ketamine, S-Norketamine and S-Hydroxynorketamine;Frontiers in Pain Research;2022-07-11

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