Evidence map›Paper›PMID 34383318›Full record

ArticleJournal of clinical pharmacology2022

Physiologically Based Pharmacokinetic Modeling to Assess the Impact of CYP2D6-Mediated Drug-Drug Interactions on Tramadol and O-Desmethyltramadol Exposures via Allosteric and Competitive Inhibition.

Tao Long, Rodrigo Cristofoletti, Brian Cicali, Veronique Michaud, Pamela Dow, Jacques Turgeon, Stephan Schmidt

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.1field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. A clinical drug-drug interaction assessment using physiologically based pharmacokinetic modeling: a case study with chloroquine and colchicine.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Tao LongCenter for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, Florida, USA.ORCID 0000-0002-0676-391X
Rodrigo CristofolettiCenter for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, Florida, USA.
Brian CicaliCenter for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, Florida, USA.ORCID 0000-0002-7932-8599
Veronique MichaudTabula Rasa HealthCare, Precision Pharmacotherapy Research and Development Institute, Orlando, Florida, USA.ORCID 0000-0002-1399-6447
Pamela DowTabula Rasa HealthCare, Precision Pharmacotherapy Research and Development Institute, Orlando, Florida, USA.ORCID 0000-0002-9983-8545
Jacques TurgeonTabula Rasa HealthCare, Precision Pharmacotherapy Research and Development Institute, Orlando, Florida, USA.ORCID 0000-0002-7978-9280
Stephan SchmidtCenter for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, Florida, USA.
University of Central Florida · USResearch & Development Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tramadol is an opioid medication used to treat moderately severe pain. Cytochrome P450 (CYP) 2D6 inhibition could be important for tramadol, as it decreases the formation of its pharmacologically active metabolite, O-desmethyltramadol, potentially resulting in increased opioid use and misuse. The objective of this study was to evaluate the impact of allosteric and competitive CYP2D6 inhibition on tramadol and O-desmethyltramadol pharmacokinetics using quinidine and metoprolol as prototypical perpetrator drugs. A physiologically based pharmacokinetic model for tramadol and O-desmethyltramadol was developed and verified in PK-Sim version 8 and linked to respective models of quinidine and metoprolol to evaluate the impact of allosteric and competitive CYP2D6 inhibition on tramadol and O-desmethyltramadol exposure. Our results show that there is a differentiated impact of CYP2D6 inhibitors on tramadol and O-desmethyltramadol based on their mechanisms of inhibition. Following allosteric inhibition by a single dose of quinidine, the exposure of both tramadol (51% increase) and O-desmethyltramadol (52% decrease) was predicted to be significantly altered after concomitant administration of a single dose of tramadol. Following multiple-dose administration of tramadol and a single-dose or multiple-dose administration of quinidine, the inhibitory effect of quinidine was predicted to be long (≈42 hours) and to alter exposure of tramadol and O-desmethyltramadol by up to 60%, suggesting that coadministration of quinidine and tramadol should be avoided clinically. In comparison, there is no predicted significant impact of metoprolol on tramadol and O-desmethyltramadol exposure. In fact, tramadol is predicted to act as a CYP2D6 perpetrator and increase metoprolol exposure, which may necessitate the need for dose separation.

Indexed as

Analgesics, OpioidArea Under CurveCytochrome P-450 CYP2D6Cytochrome P-450 CYP2D6 InhibitorsDrug InteractionsHalf-LifeHumansMetabolic Clearance RateMetoprololModels, BiologicalQuinidineTramadolAnalgesics, OpioidCytochrome P-450 CYP2D6Cytochrome P-450 CYP2D6 InhibitorsMetoprololO-demethyltramadolQuinidineTramadolCYP2D6-mediated drug-drug interactionsmetoprololO-desmethyltramadolPBPKquinidinetramadol

Identifiers

PMID34383318
PMCPMC9293201
OpenAlexW3192943827

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.