| Literature DB >> 34165059 |
Mimi Pierce1, Jan van Amsterdam2, Gerard A Kalkman3,4, Arnt Schellekens3,4, Wim van den Brink2.
Abstract
BACKGROUND: Given the ongoing opioid crisis in the United States (US), we investigated the opioid situation in Europe. The aims of the study are to provide an overview of trends in prescription opioid (PO) use and opioid-related adversities between 2010 and 2018 for different opioids in 19 European countries and to present a comparison with similar data from the US.Entities:
Keywords: Europe; opioid crisis; opioid mortality; prescription opioids
Year: 2021 PMID: 34165059 PMCID: PMC8316471 DOI: 10.1192/j.eurpsy.2021.2219
Source DB: PubMed Journal: Eur Psychiatry ISSN: 0924-9338 Impact factor: 5.361
Figure 1.Flow chart and map of participating European countries.
Summary of findings.
| High-risk opioid users | Consumption of all PO’s | Opioid-related hospital admissions | Opioid-related overdose mortality | Opioid treatment admissions | OST patients | |
|---|---|---|---|---|---|---|
| (Rate per 1000 population 15–64 years) | (Year: s-DDD per 1000,000 inhabitants per day; relative % change between 2008/2010 and 2016/2018) | (Year: rate per 100,000 population≥ 15 years) | (Year: rate per 100,000 population≥ 15 years) | (Year: rate per 100,000 population≥ 15 years) | (Year: rate per 100,000 population≥ 15 years) | |
| Scotland | – | 2010: 93* | ||||
| 16·2 | 2017: 118 | 2010: 10·9 | 2010: 124 | 2011: 589 | ||
| 2018: 22·7 | 2018: 85 | 2018: 555 | ||||
| The United Kingdom | 2008–2010: 18376 | |||||
| 2016–2018: 58088 | 2010: 301 | |||||
| 8·4 | 216% | – | – | – | 2017: 276 | |
| England | – | 2010: 3·0 | ||||
| 7·2 | 2012: 33* | 2018: 4·0 | 2010: 119 | |||
| 2018: 35 | 2018: 84 | – | ||||
| Austria | 2008–2010: 16315 | 2010: 13 | 2010: 4·2 | 2010: 279 | ||
| 2016–2018: 19867 | 2017: 16 | 2018: 3·3 | 2018: 326 | |||
| 6·3 | 22% | – | ||||
| Ireland | 2008–2010: 5946 | |||||
| 2016–2018 7061 | 2010: 13 | 2010: 4·8 | 2010: 134 | 2010: 258 | ||
| 6·2 | 19% | 2017: 18 | 2017: 7·9 | 2018: 104 | 2017: 273 | |
| Italy | 2008–2010: 3553 | |||||
| 2016–2018: 5083 | 2010: 3 | 2010: 0·3 | 2013: 35 | 2010: 200 | ||
| 6·0 | 43% | 2017: 1 | 2018: 0·3 | 2018: 31 | 2018: 144 | |
| Latvia | 2008–2010: 827 | |||||
| 2016–2018: 2102 | 2014: 11 | 2014: 0·8 | 2014: 74 | 2010: 13 | ||
| 5·7 | 154% | 2018: 11 | 2018: 0·8 | 2018: 81 | 2018: 42 | |
| France | 2008–2010: 8827 | |||||
| 2016–2018: 8011 | *2010: 8 | 2010: 0·5 | 2014: 16 | 2010: 304 | ||
| 5·0 | −9% | 2018: 10 | 2017: 0·7 | 2018: 17 | 2017: 337 | |
| Lithuania | 2008–2010: 1127 | |||||
| 2016–2018: 1445 | 2010: 5 | 2010: 0·9 | 2013: 76 | 2010: 25 | ||
| 3·9 | 28% | 2018: 2 | 2018: 1·6 | 2017: 60 | 2018: 28 | |
| Norway | 2008–2010: 9167 | |||||
| 2016–2018: 11949 | 2010: 5·0 | 2010: 153 | ||||
| 2·7 | 30% | – | 2018: 5·6 | – | 2017: 176 | |
| Cyprus | 2008–2010: 704 | 2011: 9 | ||||
| 2016–2018: 1630 | 2010: 1·1 | 2011: 56 | 2018: 20 | |||
| 2·0 | 132% | – | 2018: 0·8 | 2018: 52 | ||
| Germany | 2008–2010: 15314 | 2010: 6 | 2010: 0·3 | 2010: 40 | 2010:95 | |
| 2016–2018: 21167 | 2017: 4 | 2016: 0·3 | 2018: 8 | 2018: 96 | ||
| 2·0 | 38% | |||||
| The Czech Republic | 2008–2010: 3502 | |||||
| 2016–2018: 6261 | 2010: 1 | 2010: 0·2 | 2010: 23 | 2010: 23 | ||
| 1·9 | 79% | 2018: 1 | 2018: 0·2 | 2018: 15 | 2018: 26 | |
| The Netherlands | 2008–2010: 6565 | |||||
| 2016–2018: 14621 | 2010: 4 | 2010: 0·3 | 2010: 10 | 2010: 74 | ||
| 1·3 | 123% | 2017: 10 | 2017: 0·9 | 2015: 6 | 2015: 37 | |
| Estonia | 2008–2010: 706 | |||||
| 2016–2018: 969 | 2010: 8·0 | 2010: 89 | ||||
| – | 37% | – | 2015: 6·6 | – | 2018: 90 | |
| Northern Ireland | – | 2010: 53* | 2010: 3·6 | 2010: 29 | 2010: 45 | |
| – | 2018: 78 | 2017: 5·8 | 2016: 67 | 2017: 66 | ||
| Switzerland | 2008–2010: 11140 | |||||
| 2016–2018: 16134 | 2012: 32* | 2010: 22 | 2010: 227 | |||
| – | 45% | 2018: 23 | – | 2018: 31 | 2018: 196 | |
| Slovakia | 2008–2010: 2972 | |||||
| 2016–2018: 5528 | 2010: 7* | 2010: 0·2 | 2014: 54 | 2010: 13 | ||
| – | 86% | 2918: 4 | 2018: 0·2 | 2018: 18 | 2017: 13 | |
| Russia | 2008–2010: 85 | 2010: 61 | ||||
| 2016–2018: 237 | 2017: 18 | |||||
| – | 179% | – | – | – | ||
| Belgium | 2008–2010: 22769 | 2010: 204 | ||||
| 2016–2018: 20758 | 2010: 6 | 2010: 0·3 | 2015: 28 | 2017: 183 | ||
| – | −9% | 2018: 9 | 2016: 0·2 | 2018: 22 | ( | |
| The United States | 2008–2010: 18376 | 2010: 197* | 2010: 6·8 | 2010: 143 | 2011:393 | |
| 2016–2018: 17853 | 2017: 300 | 2018: 14·6 | 2017: 210 | 2017: 417 | ||
| – | −6% |
Note: –, no data available. Opioid-related hospital admissions: *same definition used to define data. If a different population sample (not 15 years and older) was used to calculate the rates this is given in brackets following the data from that country.
Abbreviations: OST, opioid substitution therapy/treatment; PO, prescription opioids; S-DDD, defined daily dose for statistical purposes.
Figure 2.PO consumption. Different scales are used on the Y-axis. In the case of missing data, the available data points were connected with a line. The data presented in tables and figures as 2008–2010 are from the 2011 INCB report, the data presented as 2010–2012 from the 2013 INCB report, 2012–2014 from 2015 INCB report, 2014–2016 from the 2017 INCB report, and 2016–2018 from the 2019 INCB report.
Figure 3.Opioid-related hospital admissions. Different scales are used on the Y-axis. In the case of missing data, the available data points were connected with a line. The Y-axis refers to population age, for example, inhabitants aged ≥15 years. *Similar definition of data, all other countries different definitions (see Supplement D).


Figure 4.Opioid-related overdose deaths. Different scales are used on the Y-axis. In the case of missing data, the available data points were connected with a line. The Y-axis refers to population age, for example, inhabitants aged ≥15 years. *There were a number of underreporting issues (see Supplement C).