In the field of addiction, assessment of psychoactive substance use is a key element. Nevertheless, self-reports and clinical examination underestimate the use of psychoactive substances. The implementation of urine drug screening tests (UDS) should improve this assessment. While the diagnostic value of UDS is well demonstrated, the consequences of carrying out UDS on medical management have not been established. Our aim was to summarize the evidence pertaining to the efficacy of UDS for medical management.

The aim of this paper is to assess recent developments in non-medical tramadol use, tramadol use disorder, illegal procurement and deaths.

Despite the clinical success of blocking inhibitory immune checkpoint receptors such as programmed cell death-1 (PD-1) in cancer, the mechanisms controlling the expression of these receptors have not been fully elucidated. Here, we identify a post-transcriptional mechanism regulating PD-1 expression in T cells. Upon activation, the PDCD1 mRNA and ribonucleoprotein complexes coalesce into stress granules that require microtubules and the kinesin 1 molecular motor to proceed to translation. Hence, PD-1 expression is highly sensitive to microtubule or stress granule inhibitors targeting this pathway. Evidence from healthy donors and cancer patients reveals a common regulation for the translation of CTLA4, LAG3, TIM3, TIGIT, and BTLA but not of the stimulatory co-receptors OX40, GITR, and 4-1BB mRNAs. In patients, disproportionality analysis of immune-related adverse events for currently used microtubule drugs unveils a significantly higher risk of autoimmunity. Our findings reveal a fundamental mechanism of immunoregulation with great importance in cancer immunotherapy.

Purpose: To identify the prevalence of potentially inappropriate drug prescription in a sample of nursing home residents in France, combining explicit criteria and implicit approach and to involve pharmacists in the multi-professional process of therapeutic optimization. Methods: A cross-sectional, observational, multicenter study was conducted during a five-month period in a sample of French nursing homes. Information on drug prescription, diseases, and socio-demographic characteristics of nursing home residents was collected. For each prescription, identification of potentially inappropriate drug prescription was done, based on explicit and implicit criteria. Results: Nursing home residents were administered an average of 8.1 (SD 3.2, range 0-20) drugs per day. Nearly 87% (n = 237) of the residents had polypharmacy with five or more drugs prescribed per day. Among the 274 nursing home residents recruited from five nursing homes, 212 (77.4%) had at least one potentially inappropriate drug prescription. According to the Laroche list, 84 residents (30.7%) had at least one drug with an unfavorable benefit-harm balance. An overdosing was found for 20.1% (n = 55) of the residents. Nearly 30% (n = 82) of the residents had a drug prescribed without valid medical indication. Conclusions: This study shows that potentially inappropriate drug prescriptions are highly prevalent among nursing home residents, nevertheless pharmacists can take part in drug utilization review in collaboration with the nursing home staff.

Statin-related myopathy (SRM), which includes rhabdomyolysis, is an uncommon but important adverse drug reaction because the number of people prescribed statins world-wide is large. Previous association studies of common genetic variants have had limited success in identifying a genetic basis for this adverse drug reaction. We conducted a multi-site whole-exome sequencing study to investigate whether rare coding variants confer an increased risk of SRM.

Statins can be associated with myopathy. We have undertaken a genomewide association study (GWAS) to discover and validate genetic risk factors for statin-induced myopathy in a "real-world" setting. One hundred thirty-five patients with statin myopathy recruited via the UK Clinical Practice Research Datalink were genotyped using the Illumina OmniExpress Exome version 1.0 Bead Chip and compared with the Wellcome Trust Case-Control Consortium (n = 2,501). Nominally statistically significant single nucleotide polymorphism (SNP) signals in the GWAS (P < 5 × 10-5 ) were further evaluated in several independent cohorts (comprising 332 cases and 449 drug-tolerant controls). Only one (rs4149056/c.521C>T in the SLCO1B1 gene) SNP was genomewide significant in the severe myopathy (creatine kinase > 10 × upper limit of normal or rhabdomyolysis) group (P = 2.55 × 10-9 ; odds ratio 5.15; 95% confidence interval 3.13-8.45). The association with SLCO1B1 was present for several statins and replicated in the independent validation cohorts. The data highlight the role of SLCO1B1 c.521C>T SNP as a replicable genetic risk factor for statin myopathy. No other novel genetic risk factors with a similar effect size were identified.

Ketamine and dextromethorphan are widely abused psychoactive substances. Inhibition of N-methyl-d-aspartate receptors (NMDARs) results in neurobehavioural effects including hallucinations, "out of body" sensations and dissociative effects. However, little is known about a possible extended addictive class effect linked to pharmacologically-related amino-adamantane derivatives (e.g., amantadine and memantine). Using a quasi-Bayesian analytic method, we investigated the potential association between the use of approved NMDAR antagonists (i.e., dextromethorphan, ketamine, amantadine and memantine) and the reporting of drug abuse and dependence in the WHO pharmacovigilance database (VigiBase®), which includes >21 million individual case safety reports collected from >130 countries. This disproportionality analysis identified a significant association for all investigated drugs: dextromethorphan (IC = 3.03 [2.97-3.09]), ketamine (IC = 1.70 [1.57-1.83]), amantadine (IC = 0.21 [0.06-0.35]) and memantine (IC = 0.27 [0.13-0.40]), suggesting a class effect for drug abuse and dependence. This first signal requires further investigations, but health professionals need to be alert to the potential of abuse of NMDAR antagonists, especially in the current "opioid epidemic" context, due to their growing interest as non-opioid antinociceptive drugs.

More than 130 drugs have been suspected to induce immune hemolytic anemia. Comparative studies measuring the risk of drug-induced immune hemolytic anemia (DIIHA) are lacking. We aimed (1) to detect new signals of DIIHA, excluding vaccines, and (2) to assess the association between all suspected drugs and the occurrence of immune hemolytic anemia in a nationwide comparative study. The new signals were identified using a disproportionality study (case/noncase design) in the World Pharmacovigilance Database, Vigibase, among the cases of adverse drug reactions reported up to February 2020 (>20 million). We then conducted a comparative study in the French National health database that links sociodemographic, out-of-hospital, and hospital data for the entire population (67 million individuals). Associations between exposure to drugs (those already reported as DIIHA, plus new signals identified in Vigibase) and incident cases of immune hemolytic anemia (D59.0 and D59.1 diagnosis codes of the International Classification of Diseases, version 10) from 2012 to 2018 were assessed with case-control and case-crossover designs. In Vigibase, 3371 cases of DIIHA were recorded. Fifty-nine new signals were identified resulting in a final list of 112 drugs marketed in France and measurable in the nationwide cohort (n = 4746 patients with incident immune hemolytic anemia included in the case-control analysis matched with 22 447 controls from the general population). We identified an association between immune hemolytic anemia occurrence and some antibiotics, antifungal drugs, ibuprofen, acetaminophen, furosemide, azathioprine, and iomeprol.