Correction: Higher naloxone dosing in a quantitative systems pharmacology model that predicts naloxone-fentanyl competition at the opioid mu receptor level

Bibliographic Details
Main Author: The Staff
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7523997/?tool=EBI
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spelling doaj-995d80627f2248e9ba8d005ab80933942020-11-25T04:00:26ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01159Correction: Higher naloxone dosing in a quantitative systems pharmacology model that predicts naloxone-fentanyl competition at the opioid mu receptor levelThe Staffhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7523997/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author The Staff
spellingShingle The Staff
Correction: Higher naloxone dosing in a quantitative systems pharmacology model that predicts naloxone-fentanyl competition at the opioid mu receptor level
PLoS ONE
author_facet The Staff
author_sort The Staff
title Correction: Higher naloxone dosing in a quantitative systems pharmacology model that predicts naloxone-fentanyl competition at the opioid mu receptor level
title_short Correction: Higher naloxone dosing in a quantitative systems pharmacology model that predicts naloxone-fentanyl competition at the opioid mu receptor level
title_full Correction: Higher naloxone dosing in a quantitative systems pharmacology model that predicts naloxone-fentanyl competition at the opioid mu receptor level
title_fullStr Correction: Higher naloxone dosing in a quantitative systems pharmacology model that predicts naloxone-fentanyl competition at the opioid mu receptor level
title_full_unstemmed Correction: Higher naloxone dosing in a quantitative systems pharmacology model that predicts naloxone-fentanyl competition at the opioid mu receptor level
title_sort correction: higher naloxone dosing in a quantitative systems pharmacology model that predicts naloxone-fentanyl competition at the opioid mu receptor level
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2020-01-01
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7523997/?tool=EBI
work_keys_str_mv AT thestaff correctionhighernaloxonedosinginaquantitativesystemspharmacologymodelthatpredictsnaloxonefentanylcompetitionattheopioidmureceptorlevel
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