BACKGROUND AND OBJECTIVE: Respiratory depression is a potentially life-threatening adverse effect of opioid therapy. It has been postulated that the difficulty of reversing buprenorphine-induced respiratory depression is caused by slow receptor association-dissociation kinetics at the opioid mu receptor. The aim of this study was to characterise the pharmacodynamic interaction between buprenorphine and naloxone in healthy volunteers. METHODS: A competitive pharmacodynamic interaction model was proposed to describe and predict the time course of naloxone-induced reversal of respiratory depression. The model was identified using data from an adaptive naloxone dose-selection trial following intravenous administration of buprenorphine 0.2mg/70kg or 0.4mg/70kg. RESULTS: The pharmacokinetics of naloxone and buprenorphine were best described by a two-compartment model and a three-compartment model, respectively. A combined biophase equilibration-receptor association-dissociation pharmacodynamic model described the competitive interaction between buprenorphine and naloxone at the opioid mu receptor. For buprenorphine, the values of the rate constants of receptor association (k(on)) and dissociation (k(off)) were 0.203 mL/ng/min and 0.0172 min(-)(1), respectively. The value of the equilibrium dissociation constant (K(D)) was 0.18 nmol/L. The half-life (t((1/2))) of biophase equilibration was 173 minutes. These estimates of the pharmacodynamic parameters are similar to values obtained in the absence of naloxone co-administration. For naloxone, the half-life of biophase distribution was 6.5 minutes. CONCLUSIONS: Because of the slow receptor association-dissociation kinetics of buprenorphine in combination with the fast elimination kinetics of naloxone, naloxone is best administered as a continuous infusion for reversal of buprenorphine-induced respiratory depression.
BACKGROUND AND OBJECTIVE:Respiratory depression is a potentially life-threatening adverse effect of opioid therapy. It has been postulated that the difficulty of reversing buprenorphine-induced respiratory depression is caused by slow receptor association-dissociation kinetics at the opioid mu receptor. The aim of this study was to characterise the pharmacodynamic interaction between buprenorphine and naloxone in healthy volunteers. METHODS: A competitive pharmacodynamic interaction model was proposed to describe and predict the time course of naloxone-induced reversal of respiratory depression. The model was identified using data from an adaptive naloxone dose-selection trial following intravenous administration of buprenorphine 0.2mg/70kg or 0.4mg/70kg. RESULTS: The pharmacokinetics of naloxone and buprenorphine were best described by a two-compartment model and a three-compartment model, respectively. A combined biophase equilibration-receptor association-dissociation pharmacodynamic model described the competitive interaction between buprenorphine and naloxone at the opioid mu receptor. For buprenorphine, the values of the rate constants of receptor association (k(on)) and dissociation (k(off)) were 0.203 mL/ng/min and 0.0172 min(-)(1), respectively. The value of the equilibrium dissociation constant (K(D)) was 0.18 nmol/L. The half-life (t((1/2))) of biophase equilibration was 173 minutes. These estimates of the pharmacodynamic parameters are similar to values obtained in the absence of naloxone co-administration. For naloxone, the half-life of biophase distribution was 6.5 minutes. CONCLUSIONS: Because of the slow receptor association-dissociation kinetics of buprenorphine in combination with the fast elimination kinetics of naloxone, naloxone is best administered as a continuous infusion for reversal of buprenorphine-induced respiratory depression.
Authors: Martin Johnson; Magdalena Kozielska; Venkatesh Pilla Reddy; An Vermeulen; Cheryl Li; Sarah Grimwood; Rik de Greef; Geny M M Groothuis; Meindert Danhof; Johannes H Proost Journal: Pharm Res Date: 2011-06-07 Impact factor: 4.200
Authors: Neil B Varshneya; Sherif H Hassanien; Melissa C Holt; David L Stevens; Nathan K Layle; Jonathon R Bassman; Donna M Iula; Patrick M Beardsley Journal: Biochem Pharmacol Date: 2021-10-19 Impact factor: 6.100
Authors: Amit Taneja; An Vermeulen; Dymphy R H Huntjens; Meindert Danhof; Elizabeth C M De Lange; Johannes H Proost Journal: Pharmacol Res Perspect Date: 2017-12
Authors: Ronald B Moss; Meghan McCabe Pryor; Rebecca Baillie; Katherine Kudrycki; Christina Friedrich; Mike Reed; Dennis J Carlo Journal: PLoS One Date: 2020-06-16 Impact factor: 3.240