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Introduction: Analgesics are among the most widely used drugs worldwide. This study describes the population treated with narcotic analgesics, their therapeutic indications and how the data have evolved over a decade. Methods: A cross-sectional, national, multicentre survey study was conducted that included surveys taken every year from 2007 to 2019 in a national sample of 1500 randomly selected dispensing pharmacies. Results: The mean age of patients, mostly women (around 60%), remained stable over the study period (63.2 ± 17.1 years in 2007, 68.2 ± 17.2 years in 2019). The proportion of patients treated for more than 3 months increased from 2007 to 2019. Most prescriptions involved morphine, oxycodone and fentanyl (98.5% of all prescriptions in 2019). Morphine prescriptions dropped dramatically from 49.6% (2007) to 32.3% (2019) of the total narcotic analgesics. Fentanyl prescriptions varied from 40.1% in 2007 to 32.2% in 2019. Prescriptions of oxycodone, regardless of the indication, increased steadily from 2007, from 8.3 to 34% in 2019, becoming the most prescribed narcotic analgesic for the first time since the beginning of the survey. Conclusions: This study demonstrates how narcotic opioids are prescribed, thanks to the active participation of health professionals, and confirms the striking increase in the prescription of oxycodone. [ABSTRACT FROM AUTHOR]

Introduction: Qualitative approaches based on drug causality assessment estimate the causal link between a drug and the occurrence of an adverse event from individual case safety reports. Quantitative approaches based on disproportionality analyses were developed subsequently to allow automated statistical signal detection from pharmacovigilance databases. This study assessed the potential value of causality assessment for automated safety signal detection. Methods: All drug–serious adverse event pairs with a positive rechallenge and a semiology suggestive of drug causality were identified in the French pharmacovigilance database (BNPV) from 2011 to 2017. The results were compared with those obtained from automated disproportionality analyses of the BNPV/World Health Organization (WHO) VigiBase®, complemented by the list of signals validated by the WHO-UMC (Uppsala Monitoring Centre). Summary of Product Characteristics (SmPCs), Martindale®, Meyler's® and MedLINE® were used as other sources of information for the purpose of comparison. Results: Of the 155 pairs of interest, 115 (74.2%) were also identified by another source of information. Since the individual case reporting in the BNPV, 23 (14.8%) of the adverse events (AEs) have been added to the SmPC, seven of which were not identified by disproportionality. Finally, 40 pairs were not identified by any other source of information, 13 of which were considered as potential new safety signals after analysis of case reports by pharmacovigilance experts. The signals identified by causality assessment involved antineoplastic and immunomodulatory drugs especially, in comparison with signals identified by WHO-UMC or by disproportionality within the BNPV. Conclusion: The approach therefore appears useful as an additional tool for safety signal detection, especially for antineoplastic and immunomodulating agents. [ABSTRACT FROM AUTHOR]