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.

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.

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(R) 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.

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.

OBJECTIVES: We determined the factors that affect naloxone (Narcan) administration in drug overdoses, including the certification level of emergency medical technicians (EMTs). METHODS: In 2012, 42 states contributed all or a portion of their ambulatory data to the National Emergency Medical Services Information System. We used a logistic regression model to measure the association between naloxone administration and emergency medical services certification level, age, gender, geographic location, and patient primary symptom. RESULTS: The odds of naloxone administration were much higher among EMT-intermediates than among EMT-basics (adjusted odds ratio [AOR] = 5.4; 95% confidence interval [CI] = 4.5, 6.5). Naloxone use was higher in suburban areas than in urban areas (AOR = 1.41; 95% CI = 1.3, 1.5), followed by rural areas (AOR = 1.23; 95% CI = 1.1, 1.3). Although the odds of naloxone administration were 23% higher in rural areas than in urban areas, the opioid drug overdose rate is 45% higher in rural communities. CONCLUSIONS: Naloxone is less often administered by EMT-basics, who are more common in rural areas. In most states, the scope-of-practice model prohibits naloxone administration by basic EMTs. Reducing this barrier could help prevent drug overdose death.

Excessive alcohol use accounted for an average of one in 10 deaths among working-age adults (aged 20-64 years) in the United States each year during 2006-2010, and cost the United States $223.5 billion in 2006. Binge drinking, defined as consuming four or more drinks for women or five or more drinks for men on an occasion, was responsible for more than half of these deaths and three fourths of the economic costs. Binge drinking also is responsible for many health and social problems, including alcohol poisoning. Yet, approximately 38 million U.S. adults report binge drinking an average of four times per month, and consume an average of eight drinks per binge episode. Most binge drinkers (90%) are not alcohol dependent.

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.

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.

Nationally, death rates from prescription opioid pain reliever (OPR) overdoses quadrupled during 1999-2010, whereas rates from heroin overdoses increased by <50%. Individual states and cities have reported substantial increases in deaths from heroin overdose since 2010. CDC analyzed recent mortality data from 28 states to determine the scope of the heroin overdose death increase and to determine whether increases were associated with changes in OPR overdose death rates since 2010. This report summarizes the results of that analysis, which found that, from 2010 to 2012, the death rate from heroin overdose for the 28 states increased from 1.0 to 2.1 per 100,000, whereas the death rate from OPR overdose declined from 6.0 per 100,000 in 2010 to 5.6 per 100,000 in 2012. Heroin overdose death rates increased significantly for both sexes, all age groups, all census regions, and all racial/ethnic groups other than American Indians/Alaska Natives. OPR overdose mortality declined significantly among males, persons aged <45 years, persons in the South, and non-Hispanic whites. Five states had increases in the OPR death rate, seven states had decreases, and 16 states had no change. Of the 18 states with statistically reliable heroin overdose death rates (i.e., rates based on at least 20 deaths), 15 states reported increases. Decreases in OPR death rates were not associated with increases in heroin death rates. The findings indicate a need for intensified prevention efforts aimed at reducing overdose deaths from all types of opioids while recognizing the demographic differences between the heroin and OPR-using populations. Efforts to prevent expansion of the number of OPR users who might use heroin when it is available should continue.

Persons in the United States consume opioid pain relievers (OPR) at a greater rate than any other nation. They consume twice as much per capita as the second ranking nation, Canada. Overprescribing of opioid pain relievers can result in multiple adverse health outcomes, including fatal overdoses. Opioid pain relievers were involved in 16,917 overdose deaths in 2011; in 31% of these deaths, benzodiazepine sedatives were also cited as contributing causes (CDC WONDER, unpublished data, 2014). High rates of prescribing these controlled substances are important determinants of rates of fatal overdose and drug abuse. Overall state prescribing rates of OPR vary widely. Variation in prescribing rates for higher-risk opioid prescriptions (e.g., those for long-acting or extended-release [LA/ER] formulations) or those for high daily dosage have not been examined. LA/ER OPR are more prone to abuse, and high-dose formulations are more likely to result in overdoses, so they deserve special attention. Benzodiazepines are commonly prescribed in combination with OPR, even though this combination increases the risk for overdose. Interstate variation in prescribing rates for benzodiazepines has not been measured.

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.

The health consequences of nonmedical use of prescription opioid pain relievers, such as oxycodone and hydrocodone, are significant.1 The commonly cited statistic that most nonmedical users obtain these medications from friends or family for free2 often serves as the basis for interventions focused onpatients. This statistic, however, reflects sources among all nonmedical users, from those who used the drug once or twice to more frequent users. Recent research indicates that frequent nonmedical users are increasing in numbers and differ from infrequent users with respect to high-risk behaviors.3,4 Little research has examined whether the source of opioid medication differs by frequency of nonmedical use. Such research can inform the development of appropriately targeted interventions.

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 drug-monitoring program data to direct risk-reduction measures to the types of patients overrepresented among overdose deaths might reduce mortality associated with opioid abuse.

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.

Data recently released by the National Center for Health Statistics show drug overdose deaths increased for the 11th consecutive year in 2010.1 Pharmaceuticals, especially opioid analgesics, have driven this increase.2 Other pharmaceuticals are involved in opioid overdose deaths, but their involvement is less well characterized. Using 2010 mortality data, we describe the specific drugs involved in pharmaceutical and opioid-related overdose deaths.

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 mcg/ml (n = 91, range <0.002-0.051 mcg/ml) and 0.02 mcg/ml (n = 32, range <0.004-0.069 mcg/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.

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.

OBJECTIVE: To estimate the effect of maternal illicit and prescription drug use on neonates in Washington State between 2000 and 2008. METHODS: We used state-linked birth certificate and hospital discharge (mother and neonate) data to calculate prenatal drug exposure and neonatal abstinence syndrome rates, and compared state neonatal abstinence syndrome rates with national-level data from the Nationwide Inpatient Sample. We identified the drugs of exposure, examined predictors of drug exposure and neonatal abstinence syndrome, and assessed perinatal outcomes among drug-exposed and neonatal abstinence syndrome-diagnosed neonates compared with unexposed neonates. RESULTS: Drug exposure and neonatal abstinence syndrome rates increased significantly between 2000 and 2008, neonatal abstinence syndrome rates being consistently higher than national figures (3.3 compared with 2.8 per 1,000 births in 2008; P<.05). The proportion of neonatal abstinence syndrome-diagnosed neonates exposed prenatally to opioids increased from 26.4% in 2000 to 41.7% in 2008 (P<.05). Compared with unexposed neonates, drug-exposed and neonatal abstinence syndrome-diagnosed neonates had a lower mean birth weight, longer birth hospitalization, were more likely to be born preterm, experience feeding problems, and have respiratory conditions (all P<.001). CONCLUSION: Maternal use of illicit and prescription drugs was associated with considerable neonatal morbidity and significantly higher rates of drug exposure and neonatal abstinence syndrome in recent years. Data suggest that opioid analgesics contributed to the increase in prenatal drug exposure and neonatal abstinence syndrome in Washington State. In accordance with current guidelines, our findings emphasize the need for clinicians to screen pregnant women for illicit and prescription drug use and minimize use of opioid analgesics during pregnancy. LEVEL OF EVIDENCE: II.

Drug-induced deaths include all deaths for which drugs are the underlying cause (1), including deaths attributable to acute poisoning by drugs (drug overdoses) and deaths from medical conditions resulting from chronic drug use. A drug includes illicit or street drugs (e.g., heroin or cocaine), as well as legal prescription drugs and over-the-counter drugs; alcohol is not included. The majority of deaths are unintentional drug poisoning deaths, with suicidal drug poisoning and drug poisoning of undetermined intent comprising the majority of the remainder (2). Adverse effects from drugs taken as directed and infections resulting from drug use are not included. In 2007, drug-induced deaths were more common than alcohol-induced or firearm-related deaths in the United States (1). | | To examine trends and assess drug-induced deaths during 2003--2007 in the United States, CDC analyzed data from the mortality component of the National Vital Statistics System. Death certificates provide information on the sex, race, and ethnicity of the decedent; they do not provide information on decedent income. Deaths with underlying causes that are defined as drug induced by CDC are included in the category (1). Age-adjusted rates were calculated per 100,000 persons on the basis of U.S Census populations with bridged-race categories. Unadjusted rate ratios were calculated to compare 2007 to 2003 rates and to compare nonwhite with white rates. Rates were not compared by geographic region.

OBJECTIVE: The abuse of prescription drugs has increased dramatically since 1990. Persons who overdose on such drugs frequently consume large doses and visit multiple providers. The risk of fatal overdose for different patterns of use of opioid analgesics and sedative/hypnotics has not been fully quantified. DESIGN: Matched case-control study. Cases were 300 persons who died of unintentional drug overdoses in New Mexico during 2006-2008, and controls were 5,993 patients identified through the state prescription monitoring program with matching 6-month exposure periods. OUTCOME MEASURES: Death from drug overdose or death from opioid overdose. Exposures were demographic variables and characteristics of prescription history. Crude and adjusted odds ratios (AOR) were calculated. RESULTS: Increased risk was associated with male sex (AOR 2.4, 95% confidence interval [CI] 1.8-3.1), one or more sedative/hypnotic prescriptions (AOR 3.0, CI 2.2-4.2), greater age (AOR 1.3, CI 1.2-1.4 for each 10-year increment), number of prescriptions (AOR 1.1, CI 1.1-1.1 for each additional prescription), and a prescription for buprenorphine (AOR 9.5, CI 3.0-30.0), fentanyl (AOR 3.5, CI 1.7-7.0), hydromorphone (AOR 3.3, CI 1.4-7.5), methadone (AOR 4.9, CI 2.5-9.6), or oxycodone (AOR 1.9, CI 1.4-2.6). Patients receiving a daily average of >40 morphine milligram equivalents had an OR of 12.2 (CI 9.2-16.0). CONCLUSIONS: Patients being prescribed opioid analgesics frequently or at high dosage face a substantial overdose risk. Prescription monitoring programs might be the best way for prescribers to know their patients' prescription histories and accurately assess overdose risk.

Chronic pain is a common reason for medical visits, but prevalence estimates vary between studies and have rarely included drug treatment data. This study aimed to examine characteristics of chronic pain and its relation to demographic and health factors, and factors associated with treatment of pain with opioid analgesics. A chronic pain module was added to the 2007 Kansas Behavioral Risk Factor Surveillance System (response rate=61%). Data on prevalence, duration, frequency, and severity of chronic pain, demographics, and health were collected from a representative sample of 4090 adults 18years and older by telephone. Logistic regression was used to examine the association of both chronic pain and opioid use with demographic and health factors. Chronic pain was reported by 26.0% of the participants and was associated with activity limitations (adjusted odds ratio [AOR]=3.6, 95% confidence interval [95% CI] 2.8-4.5), arthritis (AOR=3.3, 95% CI 2.6-4.0), poor mental health (AOR=2.0, 95% CI 1.4-2.8), poor overall health (AOR=1.9; 95% CI 1.5-2.5), and obesity (AOR=1.6; 95% CI 1.2-2.0). Of the 33.4% of people with pain who use prescription pain medication, 45.7% took opioids, including 36.7% of those with mild pain. Chronic pain affects a quarter of adults in Kansas and is associated with poor health. Opioid analgesics are the mainstay of prescribed pharmacotherapy in this group, even among those reporting mild pain. Chronic pain affects 26.0% of adults in the state of Kansas, USA. Overall, 45.7% of people who take prescription drugs for chronic pain reported taking opioid analgesics.

Both the usage of prescription drugs such as opioid analgesics and benzodiazepines and overdoses involving them have increased dramatically in the United States since the 1990s. Patients using these drugs often have a combination of painful conditions, substance abuse, and other forms of mental illness. Psychiatrists and many primary care physicians might not be familiar with existing evidence-based guidelines for opioid prescribing or with programs designed to reduce the abuse of prescription drugs such as state prescription drug monitoring programs. Psychiatrists need to be informed regarding this problem to partner effectively with both pain specialists and primary care providers in their community.

OBJECTIVE: Drug overdoses resulting from the abuse of prescription opioid analgesics and other controlled substances have increased in number as the volume of such drugs prescribed in the United States has grown. State prescription drug monitoring programs (PDMPs) are designed to prevent the abuse of such drugs. This study quantifies the relation of PDMPs to rates of death from drug overdose and quantities of opioid drugs distributed at the state level. DESIGN: Observational study of the United States during 1999-2005. OUTCOME MEASURES: Rates of drug overdose mortality, opioid overdose mortality, and opioid consumption by state. RESULTS: PDMPs were not significantly associated with lower rates of drug overdose or opioid overdose mortality or lower rates of consumption of opioid drugs. PDMP states consumed significantly greater amounts of hydrocodone (Schedule III) and nonsignificantly lower amounts of Schedule II opioids. The increases in overdose mortality rates and use of prescription opioid drugs during 1999-2005 were significantly lower in three PDMP states (California, New York, and Texas) that required use of special prescription forms. CONCLUSIONS: While PDMPs are potentially an important tool to prevent the nonmedical use of prescribed controlled substances, their impact is not reflected in drug overdose mortality rates. Their effect on overall consumption of opioids appears to be minimal. PDMP managers need to develop and test ways to improve the use of their data to affect the problem of prescription drug overdoses.

Drug overdose mortality nearly doubled in the United States from 1999 to 2004, with most of the increase due to prescription drug overdoses. Studying mortality rates in states that did not experience such increases may identify successful prescription overdose prevention strategies. We compared New York, a state that did not experience an overdose increase, with its neighbor, Pennsylvania. New York and Pennsylvania had prescription drug monitoring programs (PDMPs), but New York's PDMP was better funded and made use of serialized, tamperproof prescription forms. Per capita usage of the major prescription opioids in New York was two-thirds that of Pennsylvania. The drug overdose death rate in Pennsylvania was 1.6 times that of New York in 2006. Differences between New York and Pennsylvania might be due to the regulatory environment in New York State.

OBJECTIVE: Between 1999 and 2006, there was a 120% increase in the rate of unintentional drug overdose deaths in the United States. This study identifies the prevalence of mental illness, a risk factor for substance abuse, and chronic pain among prescription drug overdose deaths in West Virginia and ascertains whether psychotropic drugs contributing to the deaths were used to treat mental illness or for nonmedical purposes. METHOD: In 2007, we abstracted data on mental illness, pain, and drugs contributing to death from all unintentional prescription drug overdose deaths in 2006 recorded by the West Virginia Office of the Chief Medical Examiner. Decedent prescription records were obtained from the state prescription drug monitoring program. RESULTS: Histories of mental illness and pain were documented in 42.7% and 56.6% of 295 decedents, respectively. Psychotropic drugs contributed to 48.8% of the deaths, with benzodiazepines involved in 36.6%. Benzodiazepines contributing to death were not associated with mental illness (adjusted odds ratio [AOR] = 1.1; 95% CI, 0.6-1.8), while all other psychotropic drugs were (AOR = 3.9; 95% CI, 2.0-7.6). Of decedents with contributory benzodiazepines, 46.3% had no prescription for the drug. CONCLUSIONS: Mental illness may have contributed to substance abuse associated with deaths. Clinicians should screen for mental illness when prescribing opioids and recommend psychotherapy as an adjunct or an alternate to pharmacotherapy. Benzodiazepines may have been used nonmedically rather than as a psychotropic drug, reflecting drug diversion. Restricting benzodiazepine prescriptions to a 30-day supply with no refills might be considered.

SUMMARY: Southern states have the highest age-adjusted hip fracture rates among older adults in the United States. Regional hip fracture rates in the United States in 1986-1993 correlate with death rates from rickets in the 1940s. Historical patterns of bone nutrition early in life might explain contemporary geographic patterns in bone fragility. INTRODUCTION: State of residence early in life is a better predictor of the risk of hip fracture after age 65 than state of current residence. Therefore, the geography of rickets mortality in the United States before 1950 was compared with the geography of hip fracture rates among older adults in the United States during 1986-1993. METHODS: Vital statistics data for the US white population for 1942-1948 allowed calculation of the ratio of deaths from rickets to live births for each geographic division of the USA. These ratios were correlated with previously published, standardized hip fracture rates among whites 65-89 years old during 1986-1993 by census division. RESULTS: During 1942-1948, the rickets mortality ratio among whites was 3.11 in the South, 1.91 in the Northeast, 1.75 in the Midwest, and 1.04 in the West. The correlation of mortality with risk of hip fracture was 0.71 (p = 0.03) for both sexes combined and 0.86 (p = 0.01) for women. CONCLUSIONS: Inadequate nutrition during skeletal formation early in life might explain the higher incidence of hip fracture among older adults in the South.

AIMS: To describe all people dying from unintentional overdoses of methadone or other opioid analgesics (OOA) in West Virginia in 2006. DESIGN: We analyzed medical examiner data supplemented by data from the state prescription drug monitoring program. We compared people whose deaths involved methadone with those whose deaths involved OOA. FINDINGS: The methadone group included 87 decedents, and the OOA group included 163 decedents. Most were male. Decedents in the methadone group were significantly younger than those in the OOA group: more than a quarter were 18-24 years of age. For both groups, approximately 50% had a history of pain, and 80% had a history of substance abuse. There was no intergroup difference in the prevalence of benzodiazepines at post-mortem. Methadone was significantly less likely to have ever been prescribed than OOA. Among those with prescriptions, the proportion prescribed within 30 days of death was significantly greater for methadone than for hydrocodone, but not for oxycodone. Ten (11.5%) of the methadone decedents were enrolled in an opiate treatment program (OTP) at the time of death. CONCLUSIONS: The high prevalence of a substance abuse history and lack of prescriptions suggest that most of the deaths in both groups are related to substance abuse. There was no indication of a harmful effect from methadone's metabolic interaction with benzodiazepines, but provider or patient unfamiliarity with methadone may have been a risk factor. Prescribing methadone, especially to young males, requires extra care. Providers, OTPs and coroners/medical examiners should use state prescription drug monitoring programs to monitor the use of controlled substances by their patients.