Related Experiment Video
Updated: May 4, 2026

High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry
Published on: April 23, 2019
Observations on the urine metabolic profile of codeine in pain patients
David A Yee1, Rabia S Atayee, Brookie M Best
11Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego (UC San Diego), 9500 Gilman Drive, MC 0719, La Jolla, CA 92093-0719, USA.
Abstract:
This retrospective data analysis explored the relationship between codeine and its metabolites morphine, hydrocodone and hydromorphone. The objectives were: (i) to determine urine concentrations and mole fractions of codeine and metabolites and (ii) to examine the effect of cytochrome P450 (CYP) 2D6 inhibition on metabolite mole fractions. De-identified urine specimens were collected between September 2010 and July 2011 and analyzed using LC-MS-MS to determine codeine, morphine, hydrocodone and hydromorphone concentrations. Geometric mean urine concentrations were 0.833, 0.085 and 0.055 for morphine, hydrocodone and hydromorphone, respectively. Mole fractions were 0.23, 0.025 and 0.014 for morphine, hydrocodone and hydromorphone, respectively. The fraction of excreted codeine in the urine increased (slope = 0.06 ± .01, R² = 0.02) with total moles. As the total amount of codeine and metabolites increased, the fraction of codeine increased, while the fraction of active metabolites decreased. CYP2D6 inhibition with paroxetine, fluoxetine, bupropion and methadone significantly decreased the fraction of morphine excreted. The prevalence of codeine metabolism to morphine was considerably higher than codeine to hydrocodone. The urine concentration of codeine excreted was the greatest, followed by morphine and hydrocodone. Subjects should be monitored during concomitant use of codeine and CYP2D6 inhibitors as this affects the amount of morphine metabolite formation.
More Related Videos
09:38Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery
Published on: April 14, 2016
09:54Combining Laser Capture Microdissection and Microfluidic qPCR to Analyze Transcriptional Profiles of Single Cells: A Systems Biology Approach to Opioid Dependence
Published on: March 8, 2020
Related Concept Videos
Opioid Analgesics: Synthetic and Semisynthetic Opioids
Opioid Analgesics: Morphine and Other Natural Cogeners
Analgesia and Pain Management
Urine Studies I: Urinalysis
Urinary Tract Calculi V: Nursing Management
Pharmacokinetics in Obese Patients: Drug Metabolism and Excretion