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Record W2222254507 · doi:10.1200/jco.2002.20.9.2409

Opioid Rotation to Methadone: Proceed With Caution

2002· letter· en· W2222254507 on OpenAlexaboutno aff
Sharon Watanabe, Yoko Tarumi, D Oneschuk, Peter Lawlor, Russell K. Portenoy, Rose Anne Indelicato

Bibliographic record

VenueJournal of Clinical Oncology · 2002
Typeletter
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsnot available
Fundersnot available
KeywordsMethadoneCitationMedicineClinical OncologyOpioidFamily medicinePsychiatryLibrary scienceInternal medicineReceptorComputer scienceCancer

Abstract

fetched live from OpenAlex

Article Tools SPECIAL DEPARTMENTS Article Tools OPTIONS & TOOLS Export Citation Track Citation Add To Favorites Rights & Permissions COMPANION ARTICLES No companion articles ARTICLE CITATION DOI: 10.1200/JCO.2002.20.9.2409 Journal of Clinical Oncology - published online before print September 21, 2016 PMID: 11981018 Opioid Rotation to Methadone: Proceed With Caution Sharon WatanabexSharon WatanabeSearch for articles by this author , Yoko TarumixYoko TarumiSearch for articles by this author , Doreen OneschukxDoreen OneschukSearch for articles by this author , Peter LawlorxPeter LawlorSearch for articles by this author Russell K. PortenoyxRussell K. PortenoySearch for articles by this author , Rose Anne IndelicatoxRose Anne IndelicatoSearch for articles by this author Show More University of Alberta, Edmonton, Alberta, CanadaBeth Israel Medical Center, New York, NY https://doi.org/10.1200/JCO.2002.20.9.2409 Full Text PDF Figures and Tables "Opioid Rotation to Methadone: Proceed With Caution." Journal of Clinical Oncology, 20(9), pp. 2409–2410© 2002 by American Society of Clinical OncologyjcoJ Clin OncolJournal of Clinical OncologyJCO0732-183X1527-7755American Society of Clinical OncologyResponse01052002In Reply to Daniell and Watanabe et al:We thank Dr Daniell and Dr Watanabe et al for their comments on our article.1 We strongly agree with the latter authors’ call for caution when switching to methadone from some other mu agonist opioid. As we discussed in our article,1 the d-isomer of methadone, which makes up half of the racemic methadone available in the United States, blocks the N-methyl-d-aspartate receptor. This action, which may produce independent analgesic effects and reverse analgesic tolerance, presumably explains the observation that methadone may be far more potent than suggested on published equianalgesic dose tables. Unexpectedly high potency and a long elimination half-life combine to increase the challenge in using methadone safely and effectively. However, with cautious dosing and appropriate monitoring, the drug can indeed be useful, and we would encourage oncologists to learn the guidelines for methadone administration that we1 and others2,3 have suggested.Dr Daniell’s comments highlight the potential for molecular biology and pharmacogenomic research to alter clinical practice. The observation that some patients—fewer than 10%—may be poorly responsive to codeine because of relatively limited activity at the cytochrome P-450 isoenzyme 2D6 (CYP 2D6) is well accepted.4 This understanding should be incorporated into the assessment of patient outcomes when codeine is used. We would encourage caution, however, in extrapolating biochemical data to the clinical setting when referring to other opioids. Although it is true that oxycodone and hydrocodone are metabolized to active opioid compounds, it has not been demonstrated that this effect has clinical relevance. A study of oxycodone in humans, which evaluated psychomotor and subjective effects,5 and several animal studies of hydrocodone6,7 did not confirm that the actions of these drugs are dependent on conversion to their active metabolites. Until we have better clinical data, it would be premature to conclude that change in the functioning of the CYP 2D6 isozyme induced by other drugs is a significant factor in the response to these opioids.1. Indelicato RA, Portenoy RK: Opioid rotation in the management of refractory cancer pain. J Clin Oncol 20:: 348,2002-352, Link, Google Scholar2. Mancini I, Lossignol DA, Body JJ: Opioid switch to oral methadone in cancer pain. Curr Opin Oncol 12:: 308,2000-313, Crossref, Medline, Google Scholar3. Ripamonti C, Groff L, Brunelli C, et al: Switching from morphine to oral methadone in treating cancer pain: What is the equianalgesic ratio? J Clin Oncol 16:: 3216,1998-3221, Link, Google Scholar4. Poulsen L, Brosen K, Arendt-Nielsen L, et al: Codeine and morphine in extensive and poor metabolizers of sparteine: Pharmacokinetics, analgesic effects and side effects. Eur J Clin Pharmacol 51:: 289,1996-295, Crossref, Medline, Google Scholar5. Heiskanen T, Olkkola KT, Kalso E: Effects of blocking CYP2D6 on the pharmacokinetics and pharmacodynamics of oxycodone. Clin Pharmacol Ther 64:: 603,1998-611, Crossref, Medline, Google Scholar6. Tomkins DM, Otton SV, Hoharchi N, et al: Effect of cytochrome P450 2D1 inhibition on hydrocodone metabolism and its behavioral consequences in rats. J Pharmacol Exp Ther 280:: 1374,1997-1382, Medline, Google Scholar7. Lelas S, Wegert S, Otton SV, et al: Inhibitors of cytochrome P450 differentially modify discriminative-stimulus and antinociceptive effects of hydrocodone and hydromorphone in rhesus monkeys. Drug Alcohol Depend 54:: 239,1999-249, Crossref, Medline, Google Scholar

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.064
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.118
GPT teacher head0.437
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations20
Published2002
Admission routes1
Has abstractyes

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