Use and misuse of opioids in Maine: results from pharmacists, the prescription monitoring, and the diversion alert programs.

OBJECTIVE: Although opioids have substantial efficacy for acute pain management, escalation to opioid misuse and abuse is a persistent concern. This report assesses the current status of the opioid epidemic in Maine using three complementary data sets. METHOD: A representative sample of pharmacists (N = 275) completed an online survey regarding the extent that opioids affected their practice. A county-level analysis of opioid prescriptions (N = 1.22 million) reported to the Maine Prescription Monitoring Program (M-PMP) in 2014 and the agents implicated in arrests as reported to the Maine Diversion Alert Program (DAP, N = 2,700) in 2014/15 also was completed. RESULTS: A significantly greater number of pharmacists agreed that opioid misuse (85.9%), rather than diversion (76.8%) or access (54.2%), was a concern. Only half (56.2%) reported use of the M-PMP. Opioids were dispensed to 22.4% of residents (37.7% of women in their 80s). This was enough to supply everyone in Maine with a 16.1-day supply. Buprenorphine accounted for almost half of opioid prescriptions to young adults (46.3% women, 49.3% men). Arrests increased by 13.3% from 2014 to 2015, and the proportion of arrests that involved prescription opioids decreased while those involving stimulants and heroin were elevated. CONCLUSIONS: Pharmacists are very aware of the potential for opioid misuse, but many do not consistently use the M-PMP. There continues to be substantial legitimate use, as well as criminal activity, involving oxycodone and other prescription opioids. Continued vigilance and use of tools like the PMP and DAP are necessary to minimize nonmedical use of opioids in Maine

Evolution of genes and genomes on the Drosophila phylogeny

Comparative analysis of multiple genomes in a phylogenetic framework dramatically improves the precision and sensitivity of evolutionary inference, producing more robust results than single-genome analyses can provide. The genomes of 12 Drosophila species, ten of which are presented here for the first time (sechellia, simulans, yakuba, erecta, ananassae, persimilis, willistoni, mojavensis, virilis and grimshawi), illustrate how rates and patterns of sequence divergence across taxa can illuminate evolutionary processes on a genomic scale. These genome sequences augment the formidable genetic tools that have made Drosophila melanogaster a pre-eminent model for animal genetics, and will further catalyse fundamental research on mechanisms of development, cell biology, genetics, disease, neurobiology, behaviour, physiology and evolution. Despite remarkable similarities among these Drosophila species, we identified many putatively non-neutral changes in protein-coding genes, non-coding RNA genes, and cis-regulatory regions. These may prove to underlie differences in the ecology and behaviour of these diverse species

Evolution of genes and genomes on the Drosophila phylogeny

Affiliations des auteurs : cf page 216 de l'articleInternational audienceComparative analysis of multiple genomes in a phylogenetic framework dramatically improves the precision and sensitivity of evolutionary inference, producing more robust results than single-genome analyses can provide. The genomes of 12 Drosophila species, ten of which are presented here for the first time (sechellia, simulans, yakuba, erecta, ananassae, persimilis, willistoni, mojavensis, virilis and grimshawi), illustrate how rates and patterns of sequence divergence across taxa can illuminate evolutionary processes on a genomic scale. These genome sequences augment the formidable genetic tools that have made Drosophila melanogaster a pre-eminent model for animal genetics, and will further catalyse fundamental research on mechanisms of development, cell biology, genetics, disease, neurobiology, behaviour, physiology and evolution. Despite remarkable similarities among these Drosophila species, we identified many putatively non-neutral changes in protein-coding genes, non-coding RNA genes, and cis-regulatory regions. These may prove to underlie differences in the ecology and behaviour of these diverse species