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 |
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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 |
format | Article |
fullrecord | <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_04352940v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2732541348</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4221-23d83c3d17b5a1a76e0e768ef096cf63c304f2c01c98ba6d0752e85f636f63b43</originalsourceid><addsrcrecordid>eNp1kV9LHDEUxYNUdLV98AtIoC_1YTT_JpPxbdG2Kyz4YulDH0ImueNGZjZjMuN2v31j1yoIDYSQe38594SD0Akl5zSvC-PcOZVE0T00o1ySggjBP6AZqWVZMCrIITpK6YEQUqlaHKBDLjmnJeMz9OtuBTgMPniHYfAOem8v8RxvQuzcJt8x_B66EM0Y4hancXJbPCW_vsdjfvhzcYuHlYm9seHJ3_vOrC1gZ0bTmAQf0X5rugSfXs5j9OPb17urRbG8_X5zNV8WVjBGC8ad4pY7WjWloaaSQKCSCtps37Yyt4homSXU1qox0pGqZKDK3JF5N4Ifo7Od7sp0eoi-N3Grg_F6MV_q5xoRvGS1IE80s1927BDD4wRp1L1PFrrsHMKUNKs4KwXlQmX08zv0IUxxnX-SKUV5JVRdvw23MaQUoX11QIl-TkfndPTfdDJ7-qI4NT24V_JfHBm42AEb38H2_0p6fn29k_wD5buWsQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2781374899</pqid></control><display><type>article</type><title>The opioid epidemic: A worldwide exploratory study using the WHO pharmacovigilance database</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><creator>Robert, Marion ; Jouanjus, Emilie ; Khouri, Charles ; Fouilhé Sam‐Laï, Nathalie ; Revol, Bruno</creator><creatorcontrib>Robert, Marion ; Jouanjus, Emilie ; Khouri, Charles ; Fouilhé Sam‐Laï, Nathalie ; Revol, Bruno</creatorcontrib><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.</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 & Sons Ltd on behalf of Society for the Study of Addiction.</rights><rights>2022 The Authors. Addiction published by John Wiley & 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”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4221-23d83c3d17b5a1a76e0e768ef096cf63c304f2c01c98ba6d0752e85f636f63b43</citedby><cites>FETCH-LOGICAL-c4221-23d83c3d17b5a1a76e0e768ef096cf63c304f2c01c98ba6d0752e85f636f63b43</cites><orcidid>0000-0002-3510-2475 ; 0000-0003-2931-2940</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fadd.16081$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fadd.16081$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36331523$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://ut3-toulouseinp.hal.science/hal-04352940$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Robert, Marion</creatorcontrib><creatorcontrib>Jouanjus, Emilie</creatorcontrib><creatorcontrib>Khouri, Charles</creatorcontrib><creatorcontrib>Fouilhé Sam‐Laï, Nathalie</creatorcontrib><creatorcontrib>Revol, Bruno</creatorcontrib><title>The opioid epidemic: A worldwide exploratory study using the WHO pharmacovigilance database</title><title>Addiction (Abingdon, England)</title><addtitle>Addiction</addtitle><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.</description><subject>Analgesics, Opioid - adverse effects</subject><subject>Bayes Theorem</subject><subject>Bayesian analysis</subject><subject>Cluster analysis</subject><subject>Codeine</subject><subject>Critical incidents</subject><subject>Dependence</subject><subject>Drug abuse</subject><subject>Drug addiction</subject><subject>Drugs</subject><subject>Epidemics</subject><subject>Fentanyl</subject><subject>Fentanyl - adverse effects</subject><subject>Humans</subject><subject>Life Sciences</subject><subject>Morphine</subject><subject>Narcotics</subject><subject>Neural networks</subject><subject>opioid analgesics</subject><subject>Opioid Epidemic</subject><subject>Opioid-Related Disorders - drug therapy</subject><subject>Opioid-Related Disorders - epidemiology</subject><subject>Opioids</subject><subject>Oxycodone</subject><subject>Oxycodone - adverse effects</subject><subject>Pharmacovigilance</subject><subject>Substance use disorder</subject><subject>Tramadol</subject><subject>Tramadol - adverse effects</subject><subject>VigiBase</subject><subject>World Health Organization</subject><issn>0965-2140</issn><issn>1360-0443</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>EIF</sourceid><recordid>eNp1kV9LHDEUxYNUdLV98AtIoC_1YTT_JpPxbdG2Kyz4YulDH0ImueNGZjZjMuN2v31j1yoIDYSQe38594SD0Akl5zSvC-PcOZVE0T00o1ySggjBP6AZqWVZMCrIITpK6YEQUqlaHKBDLjmnJeMz9OtuBTgMPniHYfAOem8v8RxvQuzcJt8x_B66EM0Y4hancXJbPCW_vsdjfvhzcYuHlYm9seHJ3_vOrC1gZ0bTmAQf0X5rugSfXs5j9OPb17urRbG8_X5zNV8WVjBGC8ad4pY7WjWloaaSQKCSCtps37Yyt4homSXU1qox0pGqZKDK3JF5N4Ifo7Od7sp0eoi-N3Grg_F6MV_q5xoRvGS1IE80s1927BDD4wRp1L1PFrrsHMKUNKs4KwXlQmX08zv0IUxxnX-SKUV5JVRdvw23MaQUoX11QIl-TkfndPTfdDJ7-qI4NT24V_JfHBm42AEb38H2_0p6fn29k_wD5buWsQ</recordid><startdate>202304</startdate><enddate>202304</enddate><creator>Robert, Marion</creator><creator>Jouanjus, Emilie</creator><creator>Khouri, Charles</creator><creator>Fouilhé Sam‐Laï, Nathalie</creator><creator>Revol, Bruno</creator><general>Blackwell Publishing Ltd</general><general>Wiley</general><scope>24P</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7TK</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-3510-2475</orcidid><orcidid>https://orcid.org/0000-0003-2931-2940</orcidid></search><sort><creationdate>202304</creationdate><title>The opioid epidemic: A worldwide exploratory study using the WHO pharmacovigilance database</title><author>Robert, Marion ; Jouanjus, Emilie ; Khouri, Charles ; Fouilhé Sam‐Laï, Nathalie ; Revol, Bruno</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4221-23d83c3d17b5a1a76e0e768ef096cf63c304f2c01c98ba6d0752e85f636f63b43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Analgesics, Opioid - adverse effects</topic><topic>Bayes Theorem</topic><topic>Bayesian analysis</topic><topic>Cluster analysis</topic><topic>Codeine</topic><topic>Critical incidents</topic><topic>Dependence</topic><topic>Drug abuse</topic><topic>Drug addiction</topic><topic>Drugs</topic><topic>Epidemics</topic><topic>Fentanyl</topic><topic>Fentanyl - adverse effects</topic><topic>Humans</topic><topic>Life Sciences</topic><topic>Morphine</topic><topic>Narcotics</topic><topic>Neural networks</topic><topic>opioid analgesics</topic><topic>Opioid Epidemic</topic><topic>Opioid-Related Disorders - drug therapy</topic><topic>Opioid-Related Disorders - epidemiology</topic><topic>Opioids</topic><topic>Oxycodone</topic><topic>Oxycodone - adverse effects</topic><topic>Pharmacovigilance</topic><topic>Substance use disorder</topic><topic>Tramadol</topic><topic>Tramadol - adverse effects</topic><topic>VigiBase</topic><topic>World Health Organization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Robert, Marion</creatorcontrib><creatorcontrib>Jouanjus, Emilie</creatorcontrib><creatorcontrib>Khouri, Charles</creatorcontrib><creatorcontrib>Fouilhé Sam‐Laï, Nathalie</creatorcontrib><creatorcontrib>Revol, Bruno</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & 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 >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.</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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