The opioid epidemic: A worldwide exploratory study using the WHO pharmacovigilance database

Background and Aims The current opioid epidemic in the United States began 20 years ago and has become the leading cause of accidental deaths in the country. This crisis prompted us to explore trends in opioid abuse and dependence worldwide. We sought to identify other countries at high‐risk of opio...

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Veröffentlicht in:Addiction (Abingdon, England) England), 2023-04, Vol.118 (4), p.771-775
Hauptverfasser: Robert, Marion, Jouanjus, Emilie, Khouri, Charles, Fouilhé Sam‐Laï, Nathalie, Revol, Bruno
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container_issue 4
container_start_page 771
container_title Addiction (Abingdon, England)
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creator Robert, Marion
Jouanjus, Emilie
Khouri, Charles
Fouilhé Sam‐Laï, Nathalie
Revol, Bruno
description Background and Aims The current opioid epidemic in the United States began 20 years ago and has become the leading cause of accidental deaths in the country. This crisis prompted us to explore trends in opioid abuse and dependence worldwide. We sought to identify other countries at high‐risk of opioid use disorders, using the World Health Organization's (WHO) pharmacovigilance database. Methods We performed a disproportionality analysis using VigiBase, the WHO Global Individual Case Safety Report (ICSR) database. Five opioids used worldwide were included: oxycodone, fentanyl, morphine, tramadol, and codeine. We extracted all ICSRs associated with the drugs of interest, considered as suspect medication and recorded up until 5 June 2021, using the narrow Standardised MedDRA Query (SMQ) for drug abuse and dependence. Countries with at least one ICSR for each of the five opioids were retained. The relationship between the use of a drug (i.e. an opioid) and the occurrence of an adverse drug reaction (i.e. drug abuse and dependence) for each country was assessed by calculating the information component (IC) and its 99.9% CI [IC0005; IC9995], using a quasi‐Bayesian confidence propagation neural network (BCPNN). A hierarchical cluster analysis (Ward's method) of the IC0005 value for each of the five opioids was performed to identify subgroups of countries with similar reported risks of opioid abuse and dependence. Results Among 21 countries, the optimal number of clusters was calculated to be four, each with a Jaccard index >0.5 (0.95, 0.78, 0.65 and 0.75, respectively). Six countries with the highest signals of drug abuse and dependence were identified in cluster 1, with significant CIs for the five opioids of interest (IC0005 > 0), ranging from 0.9 to 5.8 for the lower endpoint. Conclusions There appear to be four distinct clusters of countries with similar opioid abuse and dependence profiles. The group with the highest reported risk for the opioids oxycodone, fentanyl, morphine, tramadol and codeine includes Australia, Canada, France, Germans, the United Kingdom and the United States.
doi_str_mv 10.1111/add.16081
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This crisis prompted us to explore trends in opioid abuse and dependence worldwide. We sought to identify other countries at high‐risk of opioid use disorders, using the World Health Organization's (WHO) pharmacovigilance database. Methods We performed a disproportionality analysis using VigiBase, the WHO Global Individual Case Safety Report (ICSR) database. Five opioids used worldwide were included: oxycodone, fentanyl, morphine, tramadol, and codeine. We extracted all ICSRs associated with the drugs of interest, considered as suspect medication and recorded up until 5 June 2021, using the narrow Standardised MedDRA Query (SMQ) for drug abuse and dependence. Countries with at least one ICSR for each of the five opioids were retained. The relationship between the use of a drug (i.e. an opioid) and the occurrence of an adverse drug reaction (i.e. drug abuse and dependence) for each country was assessed by calculating the information component (IC) and its 99.9% CI [IC0005; IC9995], using a quasi‐Bayesian confidence propagation neural network (BCPNN). A hierarchical cluster analysis (Ward's method) of the IC0005 value for each of the five opioids was performed to identify subgroups of countries with similar reported risks of opioid abuse and dependence. Results Among 21 countries, the optimal number of clusters was calculated to be four, each with a Jaccard index &gt;0.5 (0.95, 0.78, 0.65 and 0.75, respectively). Six countries with the highest signals of drug abuse and dependence were identified in cluster 1, with significant CIs for the five opioids of interest (IC0005 &gt; 0), ranging from 0.9 to 5.8 for the lower endpoint. Conclusions There appear to be four distinct clusters of countries with similar opioid abuse and dependence profiles. The group with the highest reported risk for the opioids oxycodone, fentanyl, morphine, tramadol and codeine includes Australia, Canada, France, Germans, the United Kingdom and the United States.</description><identifier>ISSN: 0965-2140</identifier><identifier>EISSN: 1360-0443</identifier><identifier>DOI: 10.1111/add.16081</identifier><identifier>PMID: 36331523</identifier><language>eng</language><publisher>England: Blackwell Publishing Ltd</publisher><subject>Analgesics, Opioid - adverse effects ; Bayes Theorem ; Bayesian analysis ; Cluster analysis ; Codeine ; Critical incidents ; Dependence ; Drug abuse ; Drug addiction ; Drugs ; Epidemics ; Fentanyl ; Fentanyl - adverse effects ; Humans ; Life Sciences ; Morphine ; Narcotics ; Neural networks ; opioid analgesics ; Opioid Epidemic ; Opioid-Related Disorders - drug therapy ; Opioid-Related Disorders - epidemiology ; Opioids ; Oxycodone ; Oxycodone - adverse effects ; Pharmacovigilance ; Substance use disorder ; Tramadol ; Tramadol - adverse effects ; VigiBase ; World Health Organization</subject><ispartof>Addiction (Abingdon, England), 2023-04, Vol.118 (4), p.771-775</ispartof><rights>2022 The Authors. published by John Wiley &amp; Sons Ltd on behalf of Society for the Study of Addiction.</rights><rights>2022 The Authors. Addiction published by John Wiley &amp; Sons Ltd on behalf of Society for the Study of Addiction.</rights><rights>2022. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). 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This crisis prompted us to explore trends in opioid abuse and dependence worldwide. We sought to identify other countries at high‐risk of opioid use disorders, using the World Health Organization's (WHO) pharmacovigilance database. Methods We performed a disproportionality analysis using VigiBase, the WHO Global Individual Case Safety Report (ICSR) database. Five opioids used worldwide were included: oxycodone, fentanyl, morphine, tramadol, and codeine. We extracted all ICSRs associated with the drugs of interest, considered as suspect medication and recorded up until 5 June 2021, using the narrow Standardised MedDRA Query (SMQ) for drug abuse and dependence. Countries with at least one ICSR for each of the five opioids were retained. The relationship between the use of a drug (i.e. an opioid) and the occurrence of an adverse drug reaction (i.e. drug abuse and dependence) for each country was assessed by calculating the information component (IC) and its 99.9% CI [IC0005; IC9995], using a quasi‐Bayesian confidence propagation neural network (BCPNN). A hierarchical cluster analysis (Ward's method) of the IC0005 value for each of the five opioids was performed to identify subgroups of countries with similar reported risks of opioid abuse and dependence. Results Among 21 countries, the optimal number of clusters was calculated to be four, each with a Jaccard index &gt;0.5 (0.95, 0.78, 0.65 and 0.75, respectively). Six countries with the highest signals of drug abuse and dependence were identified in cluster 1, with significant CIs for the five opioids of interest (IC0005 &gt; 0), ranging from 0.9 to 5.8 for the lower endpoint. 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Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Addiction (Abingdon, England)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Robert, Marion</au><au>Jouanjus, Emilie</au><au>Khouri, Charles</au><au>Fouilhé Sam‐Laï, Nathalie</au><au>Revol, Bruno</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The opioid epidemic: A worldwide exploratory study using the WHO pharmacovigilance database</atitle><jtitle>Addiction (Abingdon, England)</jtitle><addtitle>Addiction</addtitle><date>2023-04</date><risdate>2023</risdate><volume>118</volume><issue>4</issue><spage>771</spage><epage>775</epage><pages>771-775</pages><issn>0965-2140</issn><eissn>1360-0443</eissn><abstract>Background and Aims The current opioid epidemic in the United States began 20 years ago and has become the leading cause of accidental deaths in the country. This crisis prompted us to explore trends in opioid abuse and dependence worldwide. We sought to identify other countries at high‐risk of opioid use disorders, using the World Health Organization's (WHO) pharmacovigilance database. Methods We performed a disproportionality analysis using VigiBase, the WHO Global Individual Case Safety Report (ICSR) database. Five opioids used worldwide were included: oxycodone, fentanyl, morphine, tramadol, and codeine. We extracted all ICSRs associated with the drugs of interest, considered as suspect medication and recorded up until 5 June 2021, using the narrow Standardised MedDRA Query (SMQ) for drug abuse and dependence. Countries with at least one ICSR for each of the five opioids were retained. The relationship between the use of a drug (i.e. an opioid) and the occurrence of an adverse drug reaction (i.e. drug abuse and dependence) for each country was assessed by calculating the information component (IC) and its 99.9% CI [IC0005; IC9995], using a quasi‐Bayesian confidence propagation neural network (BCPNN). A hierarchical cluster analysis (Ward's method) of the IC0005 value for each of the five opioids was performed to identify subgroups of countries with similar reported risks of opioid abuse and dependence. Results Among 21 countries, the optimal number of clusters was calculated to be four, each with a Jaccard index &gt;0.5 (0.95, 0.78, 0.65 and 0.75, respectively). Six countries with the highest signals of drug abuse and dependence were identified in cluster 1, with significant CIs for the five opioids of interest (IC0005 &gt; 0), ranging from 0.9 to 5.8 for the lower endpoint. Conclusions There appear to be four distinct clusters of countries with similar opioid abuse and dependence profiles. The group with the highest reported risk for the opioids oxycodone, fentanyl, morphine, tramadol and codeine includes Australia, Canada, France, Germans, the United Kingdom and the United States.</abstract><cop>England</cop><pub>Blackwell Publishing Ltd</pub><pmid>36331523</pmid><doi>10.1111/add.16081</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0002-3510-2475</orcidid><orcidid>https://orcid.org/0000-0003-2931-2940</orcidid><oa>free_for_read</oa></addata></record>
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subjects Analgesics, Opioid - adverse effects
Bayes Theorem
Bayesian analysis
Cluster analysis
Codeine
Critical incidents
Dependence
Drug abuse
Drug addiction
Drugs
Epidemics
Fentanyl
Fentanyl - adverse effects
Humans
Life Sciences
Morphine
Narcotics
Neural networks
opioid analgesics
Opioid Epidemic
Opioid-Related Disorders - drug therapy
Opioid-Related Disorders - epidemiology
Opioids
Oxycodone
Oxycodone - adverse effects
Pharmacovigilance
Substance use disorder
Tramadol
Tramadol - adverse effects
VigiBase
World Health Organization
title The opioid epidemic: A worldwide exploratory study using the WHO pharmacovigilance database
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