Buprenorphine is a potent opioid analgesic with partial agonistic properties at mu-opioid receptors. This study investigated the interaction potential with several full mu-agonists in the tail-flick test in mice. We further examined the reversibility of buprenorphine antinociception by different mu-opioid receptor antagonists. Combination of buprenorphine with morphine, oxycodone, hydromorphone and fentanyl in the analgesic dose range resulted in additive or synergistic effects. When given after the decline of the acute buprenorphine effect, both morphine and fentanyl also showed full efficacy. A moderate antagonistic effect according to the partial mu-agonistic properties of buprenorphine was only seen when high doses exceeding the therapeutic dose ranges were combined. Under these conditions antinociception of morphine was reduced to the effect of buprenorphine alone. Prophylactic administration of naloxone (10 mg/kg i.v.), naltrexone (1 mg/kg i.v.) and clocinnamox (5 mg/kg s.c.) fully and persistently blocked the antinociception of a high dose of buprenorphine. An established effect of buprenorphine was less sensitive, although repeated administration of naloxone induced complete antagonism, as did the irreversible antagonist clocinnamox under prophylactic and curative treatment conditions. Our results suggest that the antinociceptive effect of buprenorphine is mainly, if not exclusively, mediated by activation of mu-opioid receptors. They confirm clinical experience that in the analgesic dose range a switch between buprenorphine and full mu-agonists is possible without loss of analgesic efficacy and without a refractory period between the termination of buprenorphine analgesia and the onset of action of the new mu-opioid treatment. Antinociception of buprenorphine is sensitive towards mu-opioid receptor antagonists and incomplete inhibition can be improved by increasing the dose or repetitive dosing.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.ejpain.2005.02.002 | DOI Listing |
Assessing and alleviating pain in animals involved in research is critically important. However, the effective implementation of pain management depends on the knowledge and attitudes of the personnel involved. Following a Federation of European Laboratory Animal Science Associations 'Pain in Mice' working group initiative, a questionnaire to survey current practices concerning analgesic use in laboratory mice was distributed to several professional groups in the field of laboratory animal science.
View Article and Find Full Text PDFDrugs
January 2025
Palliative Medicine, Geisinger Medical Center, Danville, PA, USA.
Buprenorphine is an agonist at the mu opioid receptor (MOR) and antagonist at the kappa (KOR) and delta (DOR) receptors and a nociceptin receptor (NOR) ligand. Buprenorphine has a relatively low intrinsic efficacy for G-proteins and a long brain and MOR dwell time. Buprenorphine ceiling on respiratory depression has theoretically been related multiple factors such as low intrinsic efficacy at MOR, binding to six-transmembrane MOR and interactions in MOR/NOR heterodimers.
View Article and Find Full Text PDFAims: We measured the association between prescribed stimulant medications and overdose among individuals receiving opioid agonist therapy (OAT) for opioid use disorder.
Design: Retrospective cohort study using the British Columbia Provincial Overdose Cohort, a linked administrative database.
Setting: We used data from British Columbia, Canada, from January 2015 through February 2020.
Eur J Epidemiol
January 2025
Health Sciences North Research Institute, Sudbury, ON, Canada.
Background: Opioid Agonist Treatment (OAT) is the most effective intervention for opioid use disorder (OUD), but retention has decreased due to increasingly potent drugs like fentanyl. This cohort can be used retrospectively to observe trends in service utilization, healthcare integration, healthcare costs and patient outcomes. It also facilitates the design of observational studies to mimic a prospective design.
View Article and Find Full Text PDFInt J Epidemiol
December 2024
Program in Addiction Medicine, Yale School of Medicine, New Haven, CT, United States.
Observational studies play an increasingly important role in estimating causal effects of a treatment or an exposure, especially with the growing availability of routinely collected real-world data. To facilitate drawing causal inference from observational data, we introduce a conceptual framework centered around "four targets"-target estimand, target population, target trial, and target validity. We illustrate the utility of our proposed "four targets" framework with the example of buprenorphine dosing for treating opioid use disorder, explaining the rationale and process for employing the framework to guide causal thinking from observational data.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!