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在一个评估合成阿片类药物过量对呼吸抑制和心脏骤停影响的转化模型中,比较鼻内注射纳洛酮和鼻内注射纳美芬的效果。

Comparison of intranasal naloxone and intranasal nalmefene in a translational model assessing the impact of synthetic opioid overdose on respiratory depression and cardiac arrest.

作者信息

Laffont Celine M, Purohit Prasad, Delcamp Nash, Gonzalez-Garcia Ignacio, Skolnick Phil

机构信息

Research and Development, Indivior, Inc., Richmond, VA, United States.

Clinical Pharmacology and Pharmacometrics Solutions, Simulations Plus, Buffalo, NY, United States.

出版信息

Front Psychiatry. 2024 Jun 17;15:1399803. doi: 10.3389/fpsyt.2024.1399803. eCollection 2024.

Abstract

INTRODUCTION

Using a validated translational model that quantitatively predicts opioid-induced respiratory depression and cardiac arrest, we compared cardiac arrest events caused by synthetic opioids (fentanyl, carfentanil) following rescue by intranasal (IN) administration of the μ-opioid receptor antagonists naloxone and nalmefene.

METHODS

This translational model was originally developed by Mann et al. (Clin Pharmacol Ther 2022) to evaluate the effectiveness of intramuscular (IM) naloxone. We initially implemented this model using published codes, reproducing the effects reported by Mann et al. on the incidence of cardiac arrest events following intravenous doses of fentanyl and carfentanil as well as the reduction in cardiac arrest events following a standard 2 mg IM dose of naloxone. We then expanded the model in terms of pharmacokinetic and µ-opioid receptor binding parameters to simulate effects of 4 mg naloxone hydrochloride IN and 3 mg nalmefene hydrochloride IN, both FDA-approved for the treatment of opioid overdose. Model simulations were conducted to quantify the percentage of cardiac arrest in 2000 virtual patients in both the presence and absence of IN antagonist treatment.

RESULTS

Following simulated overdoses with both fentanyl and carfentanil in chronic opioid users, IN nalmefene produced a substantially greater reduction in the incidence of cardiac arrest compared to IN naloxone. For example, following a dose of fentanyl (1.63 mg) producing cardiac arrest in 52.1% (95% confidence interval, 47.3-56.8) of simulated patients, IN nalmefene reduced this rate to 2.2% (1.0-3.8) compared to 19.2% (15.5-23.3) for IN naloxone. Nalmefene also produced large and clinically meaningful reductions in the incidence of cardiac arrests in opioid naïve subjects. Across dosing scenarios, simultaneous administration of four doses of IN naloxone were needed to reduce the percentage of cardiac arrest events to levels that approached those produced by a single dose of IN nalmefene.

CONCLUSION

Simulations using this validated translational model of opioid overdose demonstrate that a single dose of IN nalmefene produces clinically meaningful reductions in the incidence of cardiac arrest compared to IN naloxone following a synthetic opioid overdose. These findings are especially impactful in an era when >90% of all opioid overdose deaths are linked to synthetic opioids such as fentanyl.

摘要

引言

我们使用一个经过验证的可定量预测阿片类药物引起的呼吸抑制和心脏骤停的转化模型,比较了在鼻内(IN)给予μ-阿片受体拮抗剂纳洛酮和纳美芬进行抢救后,合成阿片类药物(芬太尼、卡芬太尼)导致的心脏骤停事件。

方法

这个转化模型最初由曼恩等人(《临床药理学与治疗学》2022年)开发,用于评估肌肉注射(IM)纳洛酮的有效性。我们最初使用已发表的代码实施这个模型,重现了曼恩等人报道的静脉注射芬太尼和卡芬太尼后心脏骤停事件的发生率,以及标准2毫克IM剂量纳洛酮后心脏骤停事件的减少情况。然后,我们在药代动力学和μ-阿片受体结合参数方面扩展了该模型,以模拟4毫克盐酸纳洛酮IN和3毫克盐酸纳美芬IN的效果,这两种药物均已获美国食品药品监督管理局批准用于治疗阿片类药物过量。进行模型模拟以量化在有和没有IN拮抗剂治疗的情况下,2000名虚拟患者中心脏骤停的百分比。

结果

在慢性阿片类药物使用者中模拟芬太尼和卡芬太尼过量后,与IN纳洛酮相比,IN纳美芬在心脏骤停发生率方面的降低幅度要大得多。例如,在一剂芬太尼(1.63毫克)使52.1%(95%置信区间,47.3 - 56.8)的模拟患者发生心脏骤停后,IN纳美芬将这一发生率降至2.2%(1.0 - 3.8),而IN纳洛酮为该发生率为19.2%(15.5 - 23.3)。纳美芬在未使用过阿片类药物的受试者中也使心脏骤停的发生率大幅降低且具有临床意义。在各种给药方案中,需要同时给予四剂IN纳洛酮才能将心脏骤停事件的百分比降低到接近单剂量IN纳美芬所产生的水平。

结论

使用这个经过验证的阿片类药物过量转化模型进行的模拟表明,与合成阿片类药物过量后使用IN纳洛酮相比,单剂量IN纳美芬能使心脏骤停的发生率在临床上有显著降低。在超过90%的阿片类药物过量死亡与芬太尼等合成阿片类药物相关的时代,这些发现尤其具有影响力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3c7/11215134/ca21c90d4b9e/fpsyt-15-1399803-g001.jpg

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