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Record W4400569874 · doi:10.3389/fpsyt.2024.1443304

Editorial: Discovery, development and implementation of improved options for treating opioid overdose in the synthetic opioid era

2024· editorial· en· W4400569874 on OpenAlexaffabout
Christian Heidbreder, Mark K. Greenwald, Bernard Le Foll, Phil Skolnick

Bibliographic record

VenueFrontiers in Psychiatry · 2024
Typeeditorial
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsCentre for Addiction and Mental Health
Fundersnot available
KeywordsOpioid overdoseOpioidMedicineOpioid abuseOpioid use disorderIntensive care medicine(+)-NaloxoneInternal medicineReceptor

Abstract

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Although Naloxone HCl, which the US Food and Drug Administration (FDA) first approved in 1971, remains the mainstay for opioid overdose treatment, this Research Topic provides new insights into the urgency and importance of discovering, developing and implementing improved options for treating opioid overdose in the synthetic opioid era. Four manuscripts submitted to the journal were deemed suitable for publication after undergoing a thorough peer review process. The following summarizes the main results for each manuscript.In the first article, "Brain oxygen responses induced by opioids: focus on heroin, fentanyl, and their adulterants", Kiyatkin and Choi chronically implanted oxygen sensors in the rat nucleus accumbens and coupled them with highspeed amperometry to directly monitor brain oxygen responses induced by heroin and fentanyl. Both heroin and fentanyl were shown to produce a biphasic pattern of brain oxygen response: an initial transient decrease (hypoxia) followed by a subsequent weaker but more prolonged increase (hyperoxia), indicating the involvement of posthypoxic compensatory vascular response. The hypoxic effects of heroin and fentanyl were potentiated or otherwise altered by the addition of alcohol, ketamine, and xylazine, further supporting a link between adulterated drug supply and heightened health complications. Finally, the authors provided new insights into the time-sensitive brain hypoxia induced by fentanyl and its relation to the timing of reversal by naloxone.In the second article, "Are carfentanil and acrylfentanyl naloxone resistant?", Feasel et al. applied in vitro techniques to establish the median effective inhibitory concentrations for fentanyl, acrylfentanyl, and carfentanil, and to evaluate naloxone's efficacy in reversing agonist-receptor interactions. They first demonstrated that agonist actions of acrylfentanyl and carfentanil could be reversed with naloxone. Strikingly, although acrylfentanyl had approximately one-half the potency of fentanyl, this compound required nearly double the concentration of naloxone to reverse its agonist activity relative to fentanyl. Carfentanil, with potency ≈100× greater than fentanyl, required a significantly higher concentration of naloxone to antagonize a challenge of its EC90.In the third article, "Evaluating the rate of reversal of fentanyl-induced respiratory depression using a novel longacting naloxone nanoparticle, cNLX-NP", Averick et al. characterized the efficacy of a novel opioid reversal agent based on covalent naloxone nanoparticles (cNLX-NP) to reverse fentanyl-induced respiratory effects, and the duration of its protective effects. The authors showed that cNLX-NP extended the terminal half-life of naloxone beyond that of naloxone alone or nalmefene, blocked fentanyl-induced respiratory depression up to 48 hours and rapidly reversed fentanyl-induced respiratory depression when combined 1:1 with free naloxone.In the fourth article, "Comparison of intranasal naloxone and intranasal nalmefene in a translational model assessing the impact of synthetic opioid overdose on respiratory depression and cardiac arrest", Laffont et al. used a validated translational model, which quantitatively predicts opioid-induced respiratory depression and cardiac arrest, to compare rates of fentanyl-and carfentanil-induced cardiac arrest events following rescue by intranasal (IN) administration of the mu-receptor antagonists naloxone and nalmefene. This model (Mann et al., 2022), developed by the FDA's Division of Applied Regulatory Science, offers an unbiased approach to evaluating the effectiveness of these agents following a potentially lethal dose of synthetic opioid. Following simulated fentanyland carfentanil-induced overdoses in chronic opioid users, IN nalmefene substantially reduced the incidence of cardiac arrest compared to IN naloxone. Nalmefene also produced large and clinically meaningful reductions in the incidence of cardiac arrests in opioid-naïve subjects (see Figure ). Across dosing scenarios, simultaneous administration of four doses of IN naloxone were needed to reduce the percentage of cardiac arrest events to levels produced by a single dose of IN nalmefene. editors thank all authors, reviewers, and editorial board members for contributing to this Research Topic. Recent developments in mathematical modeling, computational power, and availability of preclinical and clinical data sets are enabling the development of new mechanistic models to understand pharmacokineticpharmacodynamic interactions of new, fast-acting and potent opioid overdose reversal agents that may prevent enduring brain damage or death. We hope this Research Topic inspires innovative and life-saving research approaches in this field.Dr. Christian Heidbreder (CH) is a full-time employee of Indivior Inc.CH is holding shares of Indivior Plc, and is holding the following Indivior patents: Methods for treating schizophrenia (20190015415); Psychiatric treatment for patients with gene polymorphisms (20190046532); Buprenorphine dosing regimens (11000520); Buprenorphine to treat respiratory depression (EP3863712A1).Dr. Phil Skolnick (PS) is a Fellow of Indivior Inc.Dr. Mark Greenwald (MKG) has received consulting and speaker fees from Indivior Inc. unrelated to this project.Dr. Bernard Le Foll (BLF) has obtained funding from Indivior for a clinical trial sponsored by Indivior Inc. unrelated to this project. He has participated in a session of a National Advisory Board Meeting (Emerging Trends BUP-XR) for Indivior Canada and is part of a steering board for a clinical trial for Indivior Inc. unrelated to this project. confidence interval) of simulated subjects experiencing a cardiac arrest. The simulations were conducted using data from opioid-naïve individuals as described by Mann et al. (2022); the data presented here are from Laffont et al. (2024). Legend: filled circle, none (no intervention following fentanyl); filled square, IN NX (4 mg intranasal naloxone); filled triangle, IN NLM (2.7 mg intranasal nalmefene, equivalent to 3 mg of nalmefene hydrochloride). Simultaneous administration of two, three or four doses of IN naloxone was simulated by administering a dose equal to 8 mg (2 x 4 mg), 12 mg (3 x 4 mg), or 16 mg (4 x 4 mg), respectively. The statistical approach for simulation was adapted from the model described by Mann et al. (2022).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.013
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.018
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0030.001
Science and technology studies0.0020.002
Scholarly communication0.0060.004
Open science0.0040.001
Research integrity0.0120.013
Insufficient payload (model declined to judge)0.0130.008

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.289
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2024
Admission routes2
Has abstractyes

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