A Disparity beneath a Paradox: Cancer Mortality among Young Hispanic Americans in the US-Mexico Border Region.

The age-adjusted mortality rate for cancer in the US Hispanic population is two thirds that of the non-Hispanic white population, probably because of differences in smoking rates. We aimed to determine whether Hispanic white (HW) cancer mortality in the US-Mexico Border Region was also lower than that of the non-Hispanic white (NHW) border population, particularly in the younger population less likely to develop smoking-related cancer. We obtained age-adjusted cancer mortality rates from 1999 to 2017 for the 44 border counties, the four US-Mexico border states, and the rest of the US. We obtained cancer incidence rates for 1999-2016 from state registries. We stratified rates by age group, ethnicity, border state, urbanization, and cancer site. Age-adjusted border cancer mortality rates were 139.1/100,000 in the HW and 171.4 in the NHW populations, a ratio of 0.8. HW mortality rates were higher than NHW rates only for the 0-34 age group. State-specific HW cancer incidence rates for people 0-34 years old were 77%-80% of NHW rates. We also calculated mortality-incidence ratios (MIR) for the 0-34 population. Border mortality-incidence ratios were higher in the HW population. HW rates exceeded NHW rates for all cancer sites except skin cancer. The HW cancer disparity is due to poorer survival in the HW population, which might be due to limited access to prevention and treatment in a medically underserved area. Mortality among young border Hispanic residents might be reduced through efforts to improve insurance coverage and increase access to medical providers .

Opioid Prescribing Behaviors - Prescription Behavior Surveillance System, 11 States, 2010-2016.

PROBLEM/CONDITION: In 2017, a total of 70,237 persons in the United States died from a drug overdose, and 67.8% of these deaths involved an opioid. Historically, the opioid overdose epidemic in the United States has been closely associated with a parallel increase in opioid prescribing and with widespread misuse of these medications. National and state policy makers have introduced multiple measures to attempt to assess and control the opioid overdose epidemic since 2010, including improvements in surveillance systems. PERIOD COVERED: 2010-2016 DESCRIPTION OF SYSTEM: The Prescription Behavior Surveillance System (PBSS) was created in 2011. Its goal was to track rates of prescribing of controlled substances and possible misuse of such drugs using data from selected state prescription drug monitoring programs (PDMP). PBSS data measure prescribing behaviors for prescription opioids using multiple measures calculated from PDMP data including 1) opioid prescribing, 2) average daily opioid dosage, 3) proportion of patients with daily opioid dosages ≥90 morphine milligram equivalents, 4) overlapping opioid prescriptions, 5) overlapping opioid and benzodiazepine prescriptions, and 6) multiple-provider episodes. For this analysis, PBSS data were available for 2010-2016 from 11 states representing approximately 38.0% of the U.S. POPULATION: Average quarterly percent changes (AQPC) in the rates of opioid prescribing and possible opioid misuse measures were calculated for each state. RESULTS AND INTERPRETATION: Opioid prescribing rates declined in all 11 states during 2010-2016 (range: 14.9% to 33.0%). Daily dosage declined least (AQPC: -0.4%) in Idaho and Maine, and most (AQPC: -1.6%) in Florida. The percentage of patients with high daily dosage had AQPCs ranging from -0.4% in Idaho to -2.3% in Louisiana. Multiple-provider episode rates declined by at least 62% in the seven states with available data. Variations in trends across the 11 states might reflect differences in state policies and possible differential effects of similar policies. PUBLIC HEALTH ACTIONS: Use of PDMP data from individual states enables a more detailed examination of trends in opioid prescribing behaviors and indicators of possible misuse than is feasible with national commercially available prescription data. Comparison of opioid prescribing trends among states can be used to monitor the temporal association of national or state policy interventions and might help public health policymakers recognize changes in the use or possible misuse of controlled prescription drugs over time and allow for prompt intervention through amended or new opioid-related policies.

Mortality, Ethnicity, and Urbanization Among Children Aged 1-4 Years on the US-Mexico Border.

OBJECTIVES: Little is known about the mortality of children along the US-Mexico border. The objective of our study was to determine whether mortality rates among Hispanic children along the border ("border Hispanic children") exceeded mortality rates among non-Hispanic white children along the border. METHODS: We examined mortality rates from 2001-2015 for children aged 1-4 years in US-Mexico border counties and in the United States overall. We compared mortality rates among Hispanic and non-Hispanic white children by county urbanization level (large central, medium, and small metropolitan; micropolitan nonmetropolitan; and noncore nonmetropolitan). RESULTS: During 2001-2015, 1811 children aged 1-4 years died in the border region. The mortality rate per 100 000 children among border Hispanic children (28.3; 95% confidence interval [CI], 26.8-29.9) exceeded the mortality rate of US Hispanic children (24.7; 95% CI, 24.3-25.1) and border non-Hispanic white children (23.2; 95% CI, 20.8-25.6). When stratified by county urbanization level, however, mortality rates of border Hispanic children were not significantly different from mortality rates of US Hispanic or border non-Hispanic white children. Mortality rates in noncore nonmetropolitan counties were twice those in large central metropolitan counties, with injury mortality accounting for most of the excess. Mortality rates increased in nonmetropolitan border counties after 2010. CONCLUSIONS: Increased risk for injury and disease in noncore nonmetropolitan counties might be related to poverty, reduced access to care, or poorer quality of care. Future research should identify the remediable risk factors in such communities as the next step in preventing deaths among children aged 1-4 years.

Recognition and response to opioid overdose deaths-New Mexico, 2012.

PURPOSE: Drug overdose deaths are epidemic in the U.S. Prescription opioid pain relievers (OPR) and heroin account for the majority of drug overdoses. Preventing death after an opioid overdose by naloxone administration requires the rapid identification of the overdose by witnesses. This study used a state medical examiner database to characterize fatal overdoses, evaluate witness-reported signs of overdose, and identify opportunities for intervention. METHODS: We reviewed all unintentional drug overdose deaths that occurred in New Mexico during 2012. Data were abstracted from medical examiner records at the New Mexico Office of the Medical Investigator. We compared mutually exclusive groups of OPR and heroin-related deaths. RESULTS: Of the 489 overdose deaths reviewed, 49.3% involved OPR, 21.7% involved heroin, 4.7% involved a mixture of OPR and heroin, and 24.3% involved only non-opioid substances. The majority of OPR-related deaths occurred in non-Hispanic whites (57.3%), men (58.5%), persons aged 40-59 years (55.2%), and those with chronic medical conditions (89.2%). Most overdose deaths occurred in the home (68.7%) and in the presence of bystanders (67.7%). OPR and heroin deaths did not differ with respect to paramedic dispatch and CPR delivery, however, heroin overdoses received naloxone twice as often (20.8% heroin vs. 10.0% OPR; p<0.01). CONCLUSION: OPR overdose deaths differed by age, health status, and the presence of bystanders, yet received naloxone less often when compared to heroin overdose deaths. These findings suggest that naloxone education and distribution should be targeted in future prevention efforts.

Changes in the medical management of patients on opioid analgesics following a diagnosis of substance abuse.

PURPOSE: When providers recognize that patients are abusing prescription drugs, review of the drugs they are prescribed and attempts to treat the substance use disorder are warranted. However, little is known about whether prescribing patterns change following such a diagnosis. METHODS: We used national longitudinal health claims data from the Market Scan® commercial claims database for January 2010-June 2011. We used a cohort of 1.85 million adults 18-64 years old prescribed opioid analgesics but without abuse diagnoses during a 6-month "preabuse" period. We identified a subset of 9009 patients receiving diagnoses of abuse of non-illicit drugs (abuse group) during a 6-month "abuse" period and compared them with patients without such a diagnosis (nonabuse group) during both the abuse period and a subsequent 6-month "postabuse" period. RESULTS: During the abuse period 5.78% of the abuse group and 0.14% of the nonabuse group overdosed. Overdose rates declined to 2.12% in the abuse group in the postabuse period. Opioid prescribing rates declined 13.5%, and benzodiazepine rates declined 12.3% in the abuse group in the post-abuse period. Antidepressants and gabapentin were prescribed to roughly one half and one quarter of the abuse group, respectively, during all three periods. Daily opioid dosage did not decline in the abuse group following diagnosis. CONCLUSIONS: Prescribing to people who abuse drugs changes little after their abuse is documented. Actions such as tapering opioid and benzodiazepine prescriptions, maximizing alternative treatments for pain, and greater use of medication-assisted treatment such as buprenorphine could help reduce risk in this population. Published 2016. This article is a U.S. Government work and is in the public domain in the USA.

Controlled Substance Prescribing Patterns--Prescription Behavior Surveillance System, Eight States, 2013.

PROBLEM/CONDITION: Drug overdose is the leading cause of injury death in the United States. The death rate from drug overdose in the United States more than doubled during 1999-2013, from 6.0 per 100,000 population in 1999 to 13.8 in 2013. The increase in drug overdoses is attributable primarily to the misuse and abuse of prescription drugs, especially opioid analgesics, sedatives/tranquilizers, and stimulants. Such drugs are prescribed widely in the United States, with substantial variation by state. Certain patients obtain drugs for nonmedical use or resale by obtaining overlapping prescriptions from multiple prescribers. The risk for overdose is directly associated with the use of multiple prescribers and daily dosages of >100 morphine milligram equivalents (MMEs) per day. PERIOD COVERED: 2013. DESCRIPTION OF SYSTEM: The Prescription Behavior Surveillance System (PBSS) is a public health surveillance system that allows public health authorities to characterize and quantify the use and misuse of prescribed controlled substances. PBSS began collecting data in 2012 and is funded by CDC and the Food and Drug Administration. PBSS uses standard metrics to measure prescribing rates per 1,000 state residents by demographic variables, drug type, daily dose, and source of payment. Data from the system can be used to calculate rates of misuse by certain behavioral measures such as use of multiple prescribers and pharmacies within specified time periods. This report is based on 2013 de-identified data (most recent available) that represent approximately one fourth of the U.S. POPULATION: Data were submitted quarterly by prescription drug monitoring programs (PDMPs) in eight states (California, Delaware, Florida, Idaho, Louisiana, Maine, Ohio, and West Virginia) that routinely collect data on every prescription for a controlled substance to help law enforcement and health care providers identify misuse or abuse of such drugs. RESULTS: In all eight states, opioid analgesics were prescribed approximately twice as often as stimulants or benzodiazepines. Prescribing rates by drug class varied widely by state: twofold for opioids, fourfold for stimulants, almost twofold for benzodiazepines, and eightfold for carisoprodol, a muscle relaxant. Rates for opioids and benzodiazepines were substantially higher for females than for males in all states. In most states, opioid prescribing rates peaked in either the 45-54 years or the 55-64 years age group. Benzodiazepine prescribing rates increased with age. Louisiana ranked first in opioid prescribing, and Delaware and Maine had relatively high rates of use of long-acting (LA) or extended-release (ER) opioids. Delaware and Maine ranked highest in both mean daily opioid dosage and in the percentage of opioid prescriptions written for >100 MMEs per day. The top 1% of prescribers wrote one in four opioid prescriptions in Delaware, compared with one in eight in Maine. For the five states whose PDMPs collected the method of payment, the percentage of controlled substance prescriptions paid for in cash varied almost threefold, and the percentage paid by Medicaid varied sixfold. In West Virginia, for 1 of every 5 days of treatment with an opioid, the patient also was taking a benzodiazepine. Multiple-provider episode rates were highest in Ohio and lowest in Louisiana. INTERPRETATION: This report presents rates of population-based prescribing and behavioral measures of drug misuse in the general population that have not been available previously for comparison among demographic groups and states. The higher prescribing rates for opioids among women compared with men are consistent with a higher self-reported prevalence of certain common types of pain, such as lower back pain among women. The trend in opioid prescribing rates with age is consistent with an increase in the prevalence of chronic pain with age, but the increasing prescribing rates of benzodiazepines with age is not consistent with the fact that anxiety is most common among persons aged 30-44 years. The variation among states in the type of opioid or benzodiazepine of choice is unexplained. Most opioid prescribing occurs among a small minority of prescribers. Most of the prescriptions by top-decile prescribers probably are written by general, family medicine, internal medicine, and midlevel practitioners. The source of payment varied by state, for reasons that are unclear. Persons who are prescribed opioids also are commonly prescribed benzodiazepine sedatives despite the risk for additive depressant effects. PUBLIC HEALTH ACTIONS: States can use their prescription drug monitoring programs to generate population-based measures for the prescribing of controlled substances and for behaviors that suggest their misuse. Comparing data with other states and tracking changes in these measures over time can be useful in measuring the effect of policies designed to reduce prescription drug misuse.

Prescription opioid analgesic use among adults: United States, 1999-2012.

Prescription opioid analgesics are used to treat pain from surgery, injury, and health conditions such as cancer. Opioid dependence and opioid-related deaths are growing public health problems. Opioid analgesic sales (in kilograms per 10,000) quadrupled from 1999 to 2010 (1), and from 1999 to 2012, opioid-related deaths (per 100,000) more than tripled (2). During 1999­2002, 4.2% of persons aged 18 and over used a prescription opioid analgesic in the past 30 days (3). This report provides updated estimates and trends in prescription opioid analgesic use among adults aged 20 and over, overall and by selected subgroups.

Vital signs: alcohol poisoning deaths - United States, 2010-2012.

BACKGROUND: Alcohol poisoning is typically caused by binge drinking at high intensity (i.e., consuming a very large amount of alcohol during an episode of binge drinking). Approximately 38 million U.S. adults report binge drinking an average of four times per month and consuming an average of eight drinks per episode. METHODS: CDC analyzed data for 2010­2012 from the National Vital Statistics System to assess average annual alcohol poisoning deaths and death rates (ICD-10 codes X45 and Y15; underlying cause of death) in the United States among persons aged ≥15 years, by sex, age group, race/ethnicity, and state. RESULTS: During 2010­2012, an annual average of 2,221 alcohol poisoning deaths (8.8 deaths per 1 million population) occurred among persons aged ≥15 years in the United States. Of those deaths, 1,681 (75.7%) involved adults aged 35­64 years, and 1,696 (76.4%) involved men. Although non-Hispanic whites accounted for the majority of alcohol poisoning deaths (67.5%; 1,500 deaths), the highest age-adjusted death rate was among American Indians/Alaska Natives (49.1 per 1 million). The age-adjusted rate of alcohol poisoning deaths in states ranged from 5.3 per 1 million in Alabama to 46.5 per 1 million in Alaska. CONCLUSIONS: On average, six persons, mostly adult men, die from alcohol poisoning each day in the United States. Alcohol poisoning death rates vary substantially by state. IMPLICATIONS FOR PUBLIC HEALTH PRACTICE: Evidence-based strategies for preventing excessive drinking (e.g., regulating alcohol outlet density and preventing illegal alcohol sales in retail settings) could reduce alcohol poisoning deaths by reducing the prevalence, frequency, and intensity of binge drinking.

Variation among states in prescribing of opioid pain relievers and benzodiazepines--United States, 2012.

INTRODUCTION: Overprescribing of opioid pain relievers (OPR) can result in multiple adverse health outcomes, including fatal overdoses. Interstate variation in rates of prescribing OPR and other prescription drugs prone to abuse, such as benzodiazepines, might indicate areas where prescribing patterns need further evaluation. METHODS: CDC analyzed a commercial database (IMS Health) to assess the potential for improved prescribing of OPR and other drugs. CDC calculated state rates and measures of variation for OPR, long-acting/extended-release (LA/ER) OPR, high-dose OPR, and benzodiazepines. RESULTS: In 2012, prescribers wrote 82.5 OPR and 37.6 benzodiazepine prescriptions per 100 persons in the United States. State rates varied 2.7-fold for OPR and 3.7-fold for benzodiazepines. For both OPR and benzodiazepines, rates were higher in the South census region, and three Southern states were two or more standard deviations above the mean. Rates for LA/ER and high-dose OPR were highest in the Northeast. Rates varied 22-fold for one type of OPR, oxymorphone. CONCLUSIONS: Factors accounting for the regional variation are unknown. Such wide variations are unlikely to be attributable to underlying differences in the health status of the population. High rates indicate the need to identify prescribing practices that might not appropriately balance pain relief and patient safety. IMPLICATIONS FOR PUBLIC HEALTH: State policy makers might reduce the harms associated with the abuse of prescription drugs by implementing changes that will make the prescribing of these drugs more cautious and more consistent with clinical recommendations.

What we know, and don't know, about the impact of state policy and systems-level interventions on prescription drug overdose.

BACKGROUND: Drug overdose deaths have been rising since the early 1990s and is the leading cause of injury death in the United States. Overdose from prescription opioids constitutes a large proportion of this burden. State policy and systems-level interventions have the potential to impact prescription drug misuse and overdose. METHODS: We searched the literature to identify evaluations of state policy or systems-level interventions using non-comparative, cross-sectional, before-after, time series, cohort, or comparison group designs or randomized/non-randomized trials. Eligible studies examined intervention effects on provider behavior, patient behavior, and health outcomes. RESULTS: Overall study quality is low, with a limited number of time-series or experimental designs. Knowledge and prescribing practices were measured more often than health outcomes (e.g., overdoses). Limitations include lack of baseline data and comparison groups, inadequate statistical testing, small sample sizes, self-reported outcomes, and short-term follow-up. Strategies that reduce inappropriate prescribing and use of multiple providers and focus on overdose response, such as prescription drug monitoring programs, insurer strategies, pain clinic legislation, clinical guidelines, and naloxone distribution programs, are promising. Evidence of improved health outcomes, particularly from safe storage and disposal strategies and patient education, is weak. CONCLUSIONS: While important efforts are underway to affect prescriber and patient behavior, data on state policy and systems-level interventions are limited and inconsistent. Improving the evidence base is a critical need so states, regulatory agencies, and organizations can make informed choices about policies and practices that will improve prescribing and use, while protecting patient health.

Alcohol involvement in opioid pain reliever and benzodiazepine drug abuse-related emergency department visits and drug-related deaths - United States, 2010.

The abuse of prescription drugs has led to a significant increase in emergency department (ED) visits and drug-related deaths over the past decade. Opioid pain relievers (OPRs) and benzodiazepines are the prescription drugs most commonly involved in these events. Excessive alcohol consumption also accounts for a significant health burden and is common among groups that report high rates of prescription drug abuse. When taken with OPRs or benzodiazepines, alcohol increases central nervous system depression and the risk for overdose. Data describing alcohol involvement in OPR or benzodiazepine abuse are limited. To quantify alcohol involvement in OPR and benzodiazepine abuse and drug-related deaths and to inform prevention efforts, the Food and Drug Administration (FDA) and CDC analyzed 2010 data for drug abuse-related ED visits in the United States and drug-related deaths that involved OPRs and alcohol or benzodiazepines and alcohol in 13 states. The analyses showed alcohol was involved in 18.5% of OPR and 27.2% of benzodiazepine drug abuse-related ED visits and 22.1% of OPR and 21.4% of benzodiazepine drug-related deaths. These findings indicate that alcohol plays a significant role in OPR and benzodiazepine abuse. Interventions to reduce the abuse of alcohol and these drugs alone and in combination are needed.

Vital signs: variation among States in prescribing of opioid pain relievers and benzodiazepines - United States, 2012.

BACKGROUND: Overprescribing of opioid pain relievers (OPR) can result in multiple adverse health outcomes, including fatal overdoses. Interstate variation in rates of prescribing OPR and other prescription drugs prone to abuse, such as benzodiazepines, might indicate areas where prescribing patterns need further evaluation. METHODS: CDC analyzed a commercial database (IMS Health) to assess the potential for improved prescribing of OPR and other drugs. CDC calculated state rates and measures of variation for OPR, long-acting/extended-release (LA/ER) OPR, high-dose OPR, and benzodiazepines. RESULTS: In 2012, prescribers wrote 82.5 OPR and 37.6 benzodiazepine prescriptions per 100 persons in the United States. State rates varied 2.7-fold for OPR and 3.7-fold for benzodiazepines. For both OPR and benzodiazepines, rates were higher in the South census region, and three Southern states were two or more standard deviations above the mean. Rates for LA/ER and high-dose OPR were highest in the Northeast. Rates varied 22-fold for one type of OPR, oxymorphone. CONCLUSIONS: Factors accounting for the regional variation are unknown. Such wide variations are unlikely to be attributable to underlying differences in the health status of the population. High rates indicate the need to identify prescribing practices that might not appropriately balance pain relief and patient safety. IMPLICATIONS FOR PUBLIC HEALTH: State policy makers might reduce the harms associated with abuse of prescription drugs by implementing changes that will make the prescribing of these drugs more cautious and more consistent with clinical recommendations.

Risk of adverse health outcomes with increasing duration and regularity of opioid therapy.

PURPOSE: The purpose of this study was to examine trends in frequency and daily dosage of opioid use and related adverse health outcomes in a commercially insured population. METHODS: We examined medical claims from the Truven Health MarketScan commercial claims database for 789,457 continuously enrolled patients ages 18 to 64 years to whom opioids were dispensed during the first half of 2008. We tracked them every 6 months until either opioid use was discontinued or the end of 2010. We compared outcomes among all opioid users with those for patients who used opioids with only limited interruptions during the index period, referred to as "daily users." We contrasted the experience of daily users, other users, and nonusers for various outcomes. RESULTS: Of all claimants, 10.7% had at least one opioid prescription during the first 6 months of 2008. Of these, 39.9% continued through a second 6-month period, and 18.0% continued through the end of 2010. Only 9.0% of all users qualified as daily users, but 87.1% of them continued some use of opioids through the end of 2010. Only 43.8% of all users who continued use through 2010 initially qualified as daily users. Among all users who continued use through 2010, days of use and daily dosage increased with duration of use. Among daily users, only dosage increased, rising from 101 to 114 morphine milligram equivalents/day over the 3 years. The prevalence of benzodiazepine use was greater for daily than all users, exceeding 40% among daily users who continued opioid use for 3 years. Drug abuse and overdose rates increased with longer use. Daily users accounted for 25.0%, other users for 43.6%, and nonusers for 31.4% of opioid analgesic overdoses. CONCLUSIONS: Adverse health outcomes can increase with accumulating opioid use and increasing dosage. Existing guidelines developed by specialty societies for managing patients using opioids daily or nearly daily do not address the larger number of patients who use opioids intermittently over periods of years. Practitioners should consider applying such guidelines to patients who use opioids less frequently.

High-risk use by patients prescribed opioids for pain and its role in overdose deaths.

IMPORTANCE: From January 1, 2003, through December 31, 2010, drug overdose deaths in Tennessee increased from 422 to 1059 per year. More of these deaths involved prescription opioids than heroin and cocaine combined. OBJECTIVE: To assess the contribution of certain opioid-prescribing patterns to the risk of overdose death. DESIGN, SETTING, AND PARTICIPANTS: We performed a matched case-control study that analyzed opioid prescription data from the Tennessee Controlled Substances Monitoring Program (TNCSMP) from January 1, 2007, through December 31, 2011, to identify risk factors associated with opioid-related overdose deaths from January 1, 2009, through December 31, 2010. Case patients were ascertained from death certificate data. Age- and sex-matched controls were randomly selected from among live patients in the TNCSMP. MAIN OUTCOMES AND MEASURES: We defined a high-risk number of prescribers or pharmacies as 4 or more per year and high-risk dosage as a daily mean of more than 100 morphine milligram equivalents (MMEs) per year. The main outcome was opioid-related overdose death. RESULTS: From January 1, 2007, through December 31, 2011, one-third of the population of Tennessee filled an opioid prescription each year, and opioid prescription rates increased from 108.3 to 142.5 per 100 population per year. Among all patients in Tennessee prescribed opioids during 2011, 7.6% used more than 4 prescribers, 2.5% used more than 4 pharmacies, and 2.8% had a mean daily dosage greater than 100 MMEs. Increased risk of opioid-related overdose death was associated with 4 or more prescribers (adjusted odds ratio [aOR], 6.5; 95% CI, 5.1-8.5), 4 or more pharmacies (aOR, 6.0; 95% CI, 4.4-8.3), and more than 100 MMEs (aOR, 11.2; 95% CI, 8.3-15.1). Persons with 1 or more risk factor accounted for 55% of all overdose deaths. CONCLUSIONS AND RELEVANCE: High-risk use of prescription opioids is frequent and increasing in Tennessee and is associated with increased overdose mortality. Use of prescription drug­monitoring program data to direct risk-reduction measures to the types of patients overrepresented among overdose deaths might reduce mortality associated with opioid abuse.

Potential misuse and inappropriate prescription practices involving opioid analgesics.

BACKGROUND: Opioid misuse and abuse are growing concerns among the medical and public health communities. OBJECTIVES: To examine the prevalence of indicators for potential opioid misuse in a large, commercially insured adult population. METHODS: We adapted existing indicators developed by expert panels to include having overlapping opioid prescriptions, overlapping opioid and benzodiazepine prescriptions, long-acting/ extended release (LA/ER) opioids for acute pain,and high daily doses of opioids (>100 morphine milligram equivalents). These indicators were assessed among continuously enrolled individuals aged 18-64 years from the 2009 Truven Health MarketScan databases. Analyses were stratified by sex. RESULTS: We identified 3,391,599 eligible enrollees who received at least 1 opioid prescription. On average, enrollees obtained 3.3 opioid prescriptions, and the average annual days of supply was 47 days. Twice as many enrollees received opioid prescriptions for acute pain as for chronic pain. About a quarter of the enrollees had at least 1 indicator of either potential misuse by patients or inappropriate prescription practices by providers. About 15% of enrollees had high daily doses;7.8% had opioid overlap; and 7.9% had opioid and benzodiazepine overlap. Among those prescribed LA/ER opioids, 24.3% were treated for acute pain. Overlap indicators were more common among women. CONCLUSIONS: Our findings underscore the critical need to develop programs aimed at promoting appropriate use of opioids. Retrospective opioid utilization reviews similar to our analyses can potentially help managed care organizations and healthcare providers improve patient care and reduce the risk of adverse outcomes related to these medications.

Associations between pain clinic density and distributions of opioid pain relievers, drug-related deaths, hospitalizations, emergency department visits, and neonatal abstinence syndrome in Florida.

BACKGROUND: Community-level associations between pain clinics and drug-related outcomes have not been empirically demonstrated. METHODS: To explore these associations we correlated overdose death rates, hospital-discharge rates for drug-related hospitalizations including neonatal abstinence syndrome, and emergency department rates for drug-related visits with registered pain clinic density and rate of opioid pills dispensed per person at the county-level Florida in 2009. Negative binomial regression was used to model the crude associations and associations adjusted for exposure measures and county demographic characteristics. RESULTS: An estimated 732 pain clinics operated in Florida in 2009, a rate of 3.9/100,000 people. Among the 67 counties in Florida, 23 (34.3%) had no pain clinics, and three had 90 or more. Adjusted negative binomial regression determined no significant association between pain clinic rate and drug-related outcomes. However, rates of drug-caused, opioid-caused, and oxycodone-caused death correlated significantly with rates of opioid and oxycodone pills dispensed per person in adjusted analyses. For every increase of one pill in the rate of oxycodone pills per person, there was a 6% increase in the rate of oxycodone-related overdose death. CONCLUSIONS: Although pain clinics, some of which are "pill mills," are clearly a source of drugs used nonmedically, their impact on health outcomes might be difficult to quantify because the pills they prescribe might be consumed in other counties or states. The impact of "pill mill" laws might be better measured by more proximal measures such as the number of such facilities.

Fentanyl-associated fatalities among illicit drug users in Wayne County, Michigan (July 2005-May 2006).

BACKGROUND: During the summer of 2005, multiple cities in the United States began to report outbreaks of fentanyl-associated fatalities among illicit drug users. The objectives of this study were to (1) determine if an outbreak of fentanyl-associated fatalities occurred in mid-2005 to mid-2006 and (2) to examine trends and compare features of fentanyl-contaminated heroin-associated fatalities (FHFs) with non-fentanyl, heroin-associated fatalities (NFHFs) among illicit drug users. METHODS: Baseline prevalence of fentanyl- and heroin-associated deaths was estimated from January to May 2005 based on recorded cause of death (determined by the medical examiner (ME)) using the Wayne County, MI, USA toxicology database. The database was then queried for both FHFs and NFHFs between July 1, 2005 and May 12, 2006. A FHF was defined as having fentanyl or norfentanyl (metabolite) detected in any postmortem biological sample and either (1) detection of heroin or its metabolite (6-acetylmorphine) and/or cocaine or its metabolite (benzoylecgonine) in a postmortem biological specimen or (2) confirmation of fentanyl abuse as the cause of death by the ME or a medical history available sufficient enough to exclude prescription fentanyl or other therapeutic opioid use. A NFHF was defined as detection of heroin, 6-acetylmorphine (heroin metabolite) or morphine in any postmortem biological specimen, heroin overdose listed as the cause of death by the ME, and absence of fentanyl detection on postmortem laboratory testing. Information was systematically collected, trended for each group and then compared between the two groups with regard to demographic, exposure, autopsy, and toxicology data. Logistic regression was performed using SAS v 9.1 examining the effects of age, gender, and marital status with fentanyl group status. RESULTS: Monthly prevalence of fentanyl-associated fatalities among illicit drug users increased from an average of two in early 2005 to a peak of 24 in May, 2006. In total, 101 FHFs and 90 NFHFs were analyzed. The median age of decedents was 46 and 45 years for the fentanyl and non-fentanyl groups, respectively. Fentanyl-contaminated heroin-associated fatalities (FHFs) were more likely to be female (p = 0.003). Women aged over 44 years (OR = 4.67;95 % CI = 1.29-16.96) and divorced/widowed women (OR = 14.18;95 % CI = 1.59-127.01) were more likely to be FHFs when compared to women aged less than 44 years and single, respectively. A significant interaction occurred between gender and age, and gender and marital status. Most FHFs had central (heart) blood samples available for fentanyl testing (n = 96; 95 %): fentanyl was detected in most (n = 91; 95 %). Of these, close to half had no detectable heroin (or 6-acetylmorphine) concentrations (n = 37; 40.7 %). About half of these samples had detectable cocaine concentrations (n = 20; 54 %). Median fentanyl concentration in central blood samples was 0.02 µg/ml (n = 91, range <0.002-0.051 µg/ml) and 0.02 µg/ml (n = 32, range <0.004-0.069 µg/ml) in peripheral blood samples. The geometric mean of the ratio of central to peripheral values was 2.10 (median C/P = 1.75). At autopsy, pulmonary edema was the most frequently encountered finding for both groups (77 %). CONCLUSION: Illicit drugs may contain undeclared ingredients that may increase the likelihood of fatality in users. Gender differences in fentanyl-related mortality may be modified by age and/or marital status. These findings may help inform public health and prevention activities if fatalities associated with fentanyl-contaminated illicit drugs reoccur.

Prescription drug overdoses: a review.

PROBLEM: Overdoses involving prescription drugs in the United States have reached epidemic proportions over the past 20 years. METHODS: This review categorizes and summarizes literature on the topic dating from the first published reports through 2011 using a traditional epidemiologic model of host, agent, and environment. RESULTS: Host factors include male sex, middle age, non-Hispanic white race, low income, and mental health problems. Agent risk factors include use of opioid analgesics and benzodiazepines, high prescribed dosage for opioid analgesics, multiple prescriptions, and multiple prescribers. Environmental factors include rural residence and high community prescribing rates. DISCUSSION: The epidemiology of prescription drug overdoses differs from the epidemiology of illicit drug overdoses. Incomplete understanding of prescription overdoses impedes prevention efforts. SUMMARY: This epidemic demands additional attention from injury professionals.