Evidence map›Paper›PMID 32772457›Full record

ArticleJournal of neuroscience research2022

Slow-sustained delivery of naloxone reduces typical naloxone-induced precipitated opioid withdrawal effects in male morphine-dependent mice.

Lakeisha A Lewter, Marisa C Johnson, Anny C Treat, Andrew J Kassick, Saadyah Averick, Benedict J Kolber

Open access · greenAbstract read
In one paragraph

Article in Journal of neuroscience research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
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  5. Article
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  8. Article
  9. Review
  10. Nanotherapeutics for Alleviating Anesthesia-Associated Complications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Countermeasures for Preventing and Treating Opioid Overdose.Clinical pharmacology and therapeutics · 2021
    Review
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Lakeisha A LewterDepartment of Biological Sciences and Chronic Pain Research Consortium, Duquesne University, Pittsburgh, PA, USA.
Marisa C JohnsonDepartment of Biological Sciences and Chronic Pain Research Consortium, Duquesne University, Pittsburgh, PA, USA.
Anny C TreatDepartment of Biological Sciences and Chronic Pain Research Consortium, Duquesne University, Pittsburgh, PA, USA.
Andrew J KassickNeuroscience Disruptive Research Lab, Allegheny Health Network Research Institute, Allegheny General Hospital, Pittsburgh, PA, USA.
Saadyah AverickNeuroscience Disruptive Research Lab, Allegheny Health Network Research Institute, Allegheny General Hospital, Pittsburgh, PA, USA.
Benedict J KolberDepartment of Biological Sciences and Chronic Pain Research Consortium, Duquesne University, Pittsburgh, PA, USA.ORCID 0000-0001-8665-1805
Duquesne University · USAllegheny Health Network · US

Funding

Impact of Amygdala Lateralization on Processing and Modulation of Bladder PainR01DK115478 · NIDDK · UNIVERSITY OF TEXAS DALLAS · PI BENEDICT J KOLBER · 2018 to 2026
$4.3M
Covalent Naloxone Nanoparticles for Next Generation Fentanyl CountermeasuresR21DA050565 · NIDA · ALLEGHENY-SINGER RESEARCH INSTITUTE · PI AVERICK, SAADYAH · 2020 to 2021
$445k
The impact of amygdala CGRP receptors on the development of persistent bladder pain.F32DK128969 · NIDDK · UNIVERSITY OF TEXAS DALLAS · PI LEWTER, LAKEISHA · 2021 to 2023
$210k
NIDA NIH HHS R21 DA050565NIDDK NIH HHS F32 DK128969NIDDK NIH HHS R01 DK115478
6 · The paper itself

Abstract

Thousands of individuals die each year from opioid-related overdoses. While naloxone (Narcan®) is currently the most widely employed treatment to reverse opioid toxicity, high or repeated doses of this antidote often lead to precipitated opioid withdrawal (POW). We hypothesized that a slow linear release of naloxone from a nanoparticle would induce fewer POW symptoms compared to high-dose free naloxone. First, we measured the acute impact of covalent naloxone nanoparticles (Nal-cNPs) on morphine-induced antinociception in the hotplate test. We found that Nal-cNP treatment blocked the antinociceptive effect of morphine within 15 min of administration. Next, we tested the impact of Nal-cNPs on POW symptoms in male morphine-dependent mice. To induce morphine dependence, mice were treated with 5 mg/kg morphine (or saline) twice-daily for six consecutive days. On day 7 mice received 5 mg/kg morphine (or saline) injections 2 hr prior to receiving treatment of either unmodified free naloxone, a high or low dose of Nal-cNP, empty nanoparticle (cNP-empty), or saline. Behavior was analyzed for 0-6 hr followed by 24 and 48 hr time points after treatment. As expected, free naloxone induced a significant increase in POW behavior in morphine-dependent mice compared to saline-treated mice upon free naloxone administration. In comparison, reduced POW behavior was observed with both doses of Nal-cNP. Side effects of Nal-cNP on locomotion and fecal boli production were measured and no significant side-effects were observed. Overall, our data show that sustained release of naloxone from a covalent nanoparticle does not induce severe POW symptoms in morphine-dependent mice.

Indexed as

Morphine DependenceSubstance Withdrawal SyndromeAnalgesics, OpioidAnimalsMaleMiceMorphineNaloxoneNarcotic AntagonistsAnalgesics, OpioidMorphineNaloxoneNarcotic Antagonistsdrug delivery systemmorphinenaloxonenanoparticlewithdrawal

Identifiers

PMID32772457
PMCPMC9809991
OpenAlexW3048049052

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.