• Ann Emerg Med · Dec 2022

    Review

    A Neuropharmacological Model to Explain Buprenorphine Induction Challenges.

    • Mark K Greenwald, Andrew A Herring, Jeanmarie Perrone, Lewis S Nelson, and Pouya Azar.
    • Department of Psychiatry and Behavioral Neurosciences, School of Medicine, and Department of Pharmacy Practice, Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, Detroit, MI. Electronic address: mgreen@med.wayne.edu.
    • Ann Emerg Med. 2022 Dec 1; 80 (6): 509524509-524.

    AbstractBuprenorphine induction for treating opioid use disorder is being implemented in emergency care. During this era of high-potency synthetic opioid use, novel and divergent algorithms for buprenorphine induction are emerging to optimize induction experience, facilitating continued treatment. Specifically, in patients with chronic fentanyl or other drug exposures, some clinicians are using alternative buprenorphine induction strategies, such as quickly maximizing buprenorphine agonist effects (eg, macrodosing) or, conversely, giving smaller initial doses and slowing the rate of buprenorphine dosing to avoid antagonist/withdrawal effects (eg, microdosing). However, there is a lack of foundational theory and empirical data to guide clinicians in evaluating such novel induction strategies. We present data from clinical studies of buprenorphine induction and propose a neuropharmacologic working model, which posits that acute clinical success of buprenorphine induction (achieving a positive agonist-to-withdrawal balance) is a nonlinear outcome of the opioid balance at the time of initial buprenorphine dose and mu-opioid-receptor affinity, lipophilicity, and mu-opioid-receptor intrinsic efficacy (the "ALE value") of the prior opioid. We discuss the rationale for administering smaller or larger doses of buprenorphine to optimize the patient induction experience during common clinical situations.Copyright © 2022 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.

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