Prescription Opioid Overdose Research Articles

Opioid use disorder-related emergency department visits among deaf or hard of hearing adults in the United States

BackgroundDespite the devastating consequences of the opioid epidemic, little is known about its impact on the deaf and hard of hearing (DHH) community. ObjectiveTo determine risk of OUD-related ED visits, ED visits involving a prescription or non-prescription opioid overdose, and mortality during OUD-related ED visits among DHH adults, compared to non-DHH adults. MethodsWe analyzed the combined 2016–2017 National Emergency Department Sample (NEDS). We identified DHH adults using ICD-10-CM codes, extracting 63,865 case records of ED visits among DHH adults ages 18–64. The control group of non-DHH adult ED visits was age-, sex-, and admission year-matched in a 1:3 case-control ratio. We conducted multi-level logistic regression models for the binary dependent variables. Covariates included sociodemographic, hospital, and clinical characteristics. ResultsIn our unadjusted models, compared to non-DHH adults, DHH adults had significantly higher risk for OUD-related ED visits (OR = 1.69, 95%CI: 1.59–1.80, p < 0.001), ED visits involving prescription (OR = 1.80, 95%CI: 1.47–2.20, p < 0.001) and non-prescription opioid overdose (OR = 1.31, 95%CI: 1.05–1.63, p < 0.05), and mortality during OUD-related ED visits (OR = 2.22, 95%CI: 1.21–4.08, p < 0.05). However, after adjustment for confounding variables, including comorbid chronic pain and psychiatric conditions, except OUD-related ED visits, the risk for ED visits involving prescription and non-prescription opioid overdose, and OUD-related mortality became non-significant. ConclusionsCompared to adults without hearing loss, DHH non-elderly adults are at a higher risk of OUD-related ED visits. Future research is needed to understand the interplay between chronic pain, psychiatric conditions, and OUD among DHH adults.

Exploring perspectives on changing opioid prescribing practices: A qualitative study of community stakeholders in the HEALing Communities Study

BackgroundCommunity-based perspectives are needed to more broadly inform policy-makers, public health practitioners, prescribers, and pharmacists about community-led and broader efforts to reduce opioid overprescribing, and ultimately reduce prescription opioid use disorder, overdoses and fatalities. The aim of this study is to explore community-based perspectives on efforts to change opioid prescribing practices in their communities. MethodsSemi-structured interviews were conducted with 388 community stakeholders across four states (Kentucky, Massachusetts, New York, Ohio) from November 2019 to January 2020 about community approaches and goals of community-led responses to the opioid crisis. Data analysis combined deductive and inductive approaches to identify themes and sub-themes related to improving opioid prescribing practices. ResultsThree major themes and different subthemes were characterized: (1) acknowledging progress (i.e., healthcare providers being part of the solution, provider education, and prescription drug monitoring programs); (2) emergent challenges (i.e., physician nonadherence with safer opioid prescribing guidelines, difficulty identifying appropriate use of opioids, and concerns about accelerating the progression from opioid misuse to drug abuse); and (3) opportunities for change (i.e., educating patients about safer use and proper disposal of opioids, expanding prescriber and pharmacist education, changing unrealistic expectations around eliminating pain, expanding and increasing insurance coverage for alternative treatment options). ConclusionsCommunity stakeholders appeared to support specific opportunities to reduce prescription opioid misuse and improve safer prescribing. The opportunities included culture change around pain expectations, awareness of safe disposal, additional provider education, and increased coverage and acceptability of non-opioid treatments.

Evaluation of a Medicaid performance improvement project to reduce high-dose opioid prescriptions

BackgroundIn 2015, Oregon’s Medicaid program implemented a performance improvement project to reduce high-dose opioid prescribing across its 16 coordinated care organizations (CCOs). The objective of this study was to evaluate the effect of that program on prescription opioid use and outcomes.MethodsUsing Medicaid claims data from 2014 to 2017, we conducted interrupted time-series analyses to examine changes in the prescription opioid use and overdose rates before (July 2014 to June 2015) and after (January 2016 to December 2017) implementation of Oregon’s high-dose policy initiative (July 2015 to December 2015). Prescribing outcomes were: 1) total opioid prescriptions 2) high-dose [> 90 morphine milligram equivalents per day] opioid prescriptions, and 3) proportion of opioid prescriptions that were high-dose. Opioid overdose outcomes included emergency department visits or hospitalizations that involved an opioid-related poisoning (total, heroin-involved, non-heroin involved). Analyses were performed at the state and CCO level.ResultsThere was an immediate reduction in high dose opioid prescriptions after the program was implemented (− 1.55 prescription per 1000 enrollee; 95% CI − 2.26 to − 0.84; p < 0.01). Program implementation was also associated with an immediate drop (− 1.29 percentage points; 95% CI − 1.94 to − 0.64 percentage points; p < 0.01) and trend reduction (− 0.23 percentage point per month; 95% CI − 0.33 to − 0.14 percentage points; p < 0.01) in the monthly proportion of high-dose opioid prescriptions. The trend in total, heroin-involved, and non-heroin overdose rates increased significantly following implementation of the program.ConclusionsAlthough Oregon’s high-dose opioid performance improvement project was associated with declines in high-dose opioid prescriptions, rates of opioid overdose did not decrease. Policy efforts to reduce opioid prescribing risks may not be sufficient to address the growing opioid crisis.

Predictors of Pain Reliever Misuse Among Respondents of the United States 2017 National Survey on Drug Use and Health.

The risk factors for potential opioid misuse and abuse in patients receiving long-term opioid pain treatment have been a topic of interest in research for many years. There are differences among patients who receive long-term opioid pain treatment. These differences may or may not lead to opioid misuse. This study analyzes the different characteristics and predictors of prescription pain reliever misuse among respondents of the United States 2017 National Survey on Drug Use and Health. It examines the relationships of age, gender, income, perception of risk and availability of heroin, past substance use and alcohol use, the source of the pain relievers, and motivation to misuse pain relievers to pain reliever misuse and if these variables significantly predict pain reliever misuse. Data used in this study were analyzed through sequential multiple linear regression analyses. The significant positive predictors of prescription pain reliever misuse were being 26 or older, perceiving heroin as easily obtainable, and past methamphetamine use. The significant negative predictors of prescription pain reliever misuse were being 12 to 25 years old, perceiving heroin as a great risk, past alcohol use, and obtaining pain relievers from a friend or relative. The goal of this study was to increase the amount of knowledge regarding predictors of prescription opioid misuse to identify those who are at risk and decrease prescription opioid misuse and overdose rates in the United States.

The cost and impact of distributing naloxone to people who are prescribed opioids to prevent opioid-related deaths: findings from a modelling study.

Although most opioid-related mortality in Australia involves prescription opioids, most research to understand the impact of naloxone supply on opioid-related mortality has focused upon people who inject heroin. We aimed to examine the cost and probable impact of up-scaling naloxone supply to people who are prescribed opioids. Decision-tree model. Four scenarios were compared with a baseline scenario (the current status quo): naloxone scale-up between 2020 and 2030 to reach 30 or 90% coverage by 2030, among the subgroups of people prescribed either ≥ 50 or ≥ 100 mg of oral morphine equivalents (OME). Australia. People who are prescribed opioids. Possible deaths averted, costs (ambulance and naloxone distribution) and cost per life saved for different scenarios of naloxone scale-up. Maintaining the status quo, there would be an estimated 7478 [uncertainty interval (UI) = 6868-8275] prescription opioid overdose deaths between 2020 and 2030, resulting in Australian dollars (A$)51.9 million (49.4, 56.0) in ambulance costs. If naloxone were scaled-up to 90% of people prescribed > 50 mg OME, an estimated 657 (UI = 245, 1489) deaths could be averted between 2020 and 2030 (a 20% reduction in the final year of the model compared with the no naloxone scenario), with a cost of A$43 600 (20 800-110 500) per life saved. If naloxone were scaled-up to 30% of people prescribed > 50 mg OME an estimated 219 (82-496) deaths could be averted with the same cost per live saved. If naloxone were restricted to those prescribed > 100 mg OME, an estimated 130 (UI = 44-289) deaths would be averted if scaled-up to 30% or 390 (UI = 131-866) deaths averted if scaled-up to 90%, with the cost per life saved for both scenarios A$38 200 (UI = 12 400-97 400). In Australia, scaling-up take-home naloxone by 2030 to reach 90% of people prescribed daily doses of ≥ 50 mg of oral morphine equivalents would be cost-effective and save more than 650 lives.

Public health strategies to combat opioid epidemic in the United States: A systematic review

Abstract Background The opioid epidemic in the United States is a national public health crisis. Driven by an increase in availability of pharmaceutical opioids and by an increase in their consumption, specifically, for pain treatment, more so in the past twenty years, it has led to an economic cost of prescription opioid abuse, overdose, and dependence in the United States estimated to be 78.5 billion USD. The purpose of this systematic review was to identify and evaluate public health strategies that contribute towards combatting the opioid crisis. Methods Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist, a search was conducted of the PubMed database for articles in English language that analyzed the most effective ways to regulate health markets to decrease the opioid crisis in the United States. Results The initial search yielded 2397 titles, of which 15 full-text articles were ultimately selected for inclusion in this systematic review. The review identified four categories in overcoming this epidemic nationwide, including required improvement in patient utilization of and access to safe and effective treatment options for opioid abuse and overdose, addressing the stigma correlated with opioid use, considering appropriate use of abuse deterrent formulations (ADF) along with patient education, and improving prescribing practices via utilization of drug monitoring programs, CDC opioid prescribing guidelines and provider continuing education. Conclusions Attempts to combat the opioid epidemic have been made, and the state and federal governments have only recently started to understand the magnitude of the seriousness of this public health crisis. While the methods with promising improvement of the situation have been identified, implementing them has shown to be a challenge. Continued application is needed, while considering possible new steps that could help reinforce their utilization further. Key messages Attempts to combat the opioid epidemic have been made, and the state and federal governments have only recently started to understand the magnitude of the seriousness of this public health crisis. The methods with promising improvement of the opioid crisis situation have been identified, however utilizing and implementing the existing public health strategies has shown to be a challenge.

Impacts of prescription drug monitoring program policy changes and county opioid safety coalitions on prescribing and overdose outcomes in California, 2015–2018

In 2015, California received funding to implement the Prescription Drug Overdose Prevention Initiative, a 4-year program to reduce deaths involving prescription opioids by 1) leveraging improvements to California's prescription drug monitoring program (PDMP) (i.e., mandatory PDMP registration for prescribers and pharmacists), and 2) supporting county opioid safety coalitions. We used statewide data from 2011 to 2018 to evaluate the Initiative's impact on opioid prescribing and overdose rates. Prescribing data were obtained from California's PDMP; fatal and non-fatal overdose data were obtained from the California Department of Public Health. Outcomes were monthly opioid prescribing rates and opioid overdose rates, modeled using generalized linear mixed models. Exposures were mandatory PDMP registration, presence of county coalitions, and Initiative support for county coalitions. Mandatory PDMP registration was associated with a 25% decrease (95%CI, 0.71–0.79) in opioid prescribing rates after 24 months. Having a county coalition was associated with a 2% decrease (95%CI, 0.96–0.99) in the opioid prescribing rate; receiving Initiative support was associated with an additional 2% decrease (95%CI, 0.97–0.98). Mandatory PDMP registration and county coalitions were associated with a 35% decrease (95%CI, 0.43–0.97) and a 21% decrease (95% CI, 0.70–0.90), respectively in prescription opioid overdose deaths. Both interventions were also associated with significantly fewer deaths involving any opioid but had no significant association with non-fatal overdose rates. Findings add to the knowledge available to guide policy to prevent high-risk prescribing and opioid overdoses. While further study is needed, coalitions and mandatory PDMP registration may be important components in such efforts.

What Your Death Certificate Says About You May Be Wrong: A Narrative Review on CDC's Efforts to Quantify Prescription Opioid Overdose Deaths.

Mortality data in most countries are reported using the International Classification of Diseases (ICD), managed by the WHO. In this paper, we show how the ICD is ill-suited for classifying drug-involved deaths, many of which involve polysubstance abuse and/or illicitly manufactured fentanyl (IMF).Opioids identified in death certificates are categorized according to six ICD T-codes: opium (T40.0), heroin (T40.1), methadone (T40.3), other synthetic narcotics (T40.4), and other and unspecified narcotics (T40.6). Except for opium, heroin, and methadone, all other opioids except those that are unspecified are aggregated in two T-codes (T40.2 and T40.4), depending upon whether they are natural/semisynthetic or synthetic opioids other than methadone. The result is a system that obscures the actual cause of most drug overdose deaths and, instead, just tallies the number of times each drug is mentioned in an overdose situation.We examined the CDC’s methodology for coding other controlled substances according to the ICD and found that, besides fentanyl, the ICD does not distinguish between other licit and illicitly manufactured controlled substances. Moreover, we discovered that the CDC codes all methadone-related deaths as resulting from the prescribed form of the drug. These and other anomalies in the CDC’s mortality reporting are discussed in this report.We conclude that the CDC was at fault for failing to correct the miscoding of IMF. Finally, we briefly discuss some of the public policy consequences of this error, the misguided focus by public health and safety officials on pharmaceutical opioids, their prescribers and users, and the pressing necessity for the CDC to reassess how it measures and reports drug-involved mortality.

Quantifying prescribed high dose opioids in the community and risk of overdose

BackgroundOpioid prescribing for a range of health issues is increasing globally. The risk of fatal and non-fatal overdose is increased among people prescribed strong opioids: in high doses in the context of polypharmacy (the use of multiple medications at the same time), especially with other sedatives; and among people with multiple morbidities including cardiorespiratory, hepatic and renal conditions. This study described and quantified the prescribing of strong opioids, comorbidities and other overdose risk factors among those prescribed strong opioids, and factors associated with high/very high opioid dosage in a regional health authority in Scotland as part of a wider service improvement exercise.MethodsParticipating practices ran searches to identify patients prescribed strong opioids and their characteristics, polypharmacy, and other overdose risk factors. Data were anonymised before being analysed at practice and patient-level. Morphine Equivalent Doses were calculated for patients based on drug/dose information and classed as Low/Medium/High/Very High. Descriptive statistics were generated on the strong opioid patient population and overdose risk factors. The relationship between the prescribing of strong opioids and practice/patient-level factors was investigated using linear and logistic regression models.ResultsEighty-five percent (46/54) of GP practices participated. 12.4% (42,382/341,240) of individuals in participating practices were prescribed opioids and, of these, one third (14,079/42,382) were prescribed strong opioids. The most common comorbidities and overdose risk factors among strong opioid recipients were pain (67.2%), cardiovascular disease (43.2%), and mental health problems (39.3%). There was a positive significant relationship between level of social deprivation among practice caseload and level of strong opioid prescribing (p < 0.001). People prescribed strong opioids tended to be older (mean 59.7 years) and female (8638, 61.4%) and, among a subset of patients, age, gender and opioid drug class were significantly associated with prescribing of High/Very High doses.ConclusionsOur findings have identified a large population at potential risk of prescription opioid overdose. There is a need to explore pragmatic models of tailored interventions which may reduce the risk of overdose within this group and clinical practice may need to be tightened to minimise overdose risk for individuals prescribed high dose opioids.

Demographic Pattern and Mortality Risk Factors for Prescription Opioid Overdose Hospitalizations: Results From Nationwide Inpatient Sample Analysis.

ObjectivesTo explore the demographic patterns of hospitalizations related to prescription opioid overdose (POD) and evaluate the mortality risk of association in POD inpatients.MethodologyWe conducted a cross-sectional study using the Nationwide Inpatient Sample of 184,711 POD inpatients. A binomial logistic regression model was used to evaluate the odds ratio (OR) of association for mortality risk due to comorbidities (substance use disorders (SUD) and medical complications) in POD inpatients.ResultsPOD inpatients were majorly females (54.1%), older adults aged 51-75 years (48.5%), whites (81.5%), and from lower household income quartet (32.8%). The most prevalent comorbid SUD among POD inpatients was alcohol (15.7%), followed by cannabis (5.7%), cocaine (4.2%), and amphetamine (1.8%). Comorbid alcohol use disorders had a minimally increased association with mortality but were not statistically significant (OR = 1.036; P = 0.438). POD in patients with cardiac arrest had the highest risk of mortality (OR = 103.423; P < 0.001), followed by shock (OR = 15.367; P < 0.001), coma (OR = 13.427; P < 0.001), and respiratory failure (OR = 12.051; P < 0.001).ConclusionsOur study indicates that the hospitalizations related to POD were more prevalent among females, elders between 51 and 75 years of age, whites, and those in the lower household income quartet. The prevalence of prescription opioid use and the hospitalization related to POD remains a significant public health issue. POD inpatients with medical complications were at a higher risk of mortality than with comorbid SUD.

Describing the changing relationship between opioid prescribing rates and overdose mortality: A novel county-level metric

Background and AimsIn the United States, the rate of drug overdose death has more than tripled over the past two decades, a trend that is often attributed to changes in opioid prescribing practices. We developed a novel, longitudinal metric to summarize the relationship between prescription opioid prescribing practices and drug overdose mortality and to assess if longitudinal changes in that relationship differ by characteristics of place. MethodsWe constructed a single county-level measure of overdose deaths per 100,000 opioid prescriptions annually from 2006 to 2018. We used latent profile analysis to classify all U.S. counties into classes based on demographic and socioeconomic characteristics and fit a mixed Poisson log-linear model to quantify temporal changes in our measure by county-type classes. Results: Latent profile analysis resulted in 7 classes with high separation between classes (overall entropy = 0.916). Across all groups, the average number of overdose deaths per opioid prescription remained steady from 2006 to 2011 and increased from 2012–2018. The largest increases were in the high GDP (average annual change: 18.1 %, 95 %CI: 17.5, 18.6) and high education classes (16.6 %, 95 %CI: 16.0, 17.1). ConclusionsThis novel summary metric enhances our understanding of the shift in overdose mortality and the role of geography and place characteristics.

Public health strategies to combat opioid crisis in the United States?

Background: The opioid epidemic in the United States is a national public health crisis. Driven by an increase in availability of pharmaceutical opioids and by an increase in their consumption, specifically, for pain treatment, more so in the past twenty years, it has led to an economic cost of prescription opioid abuse, overdose, and dependence in the United States estimated to be 78.5 billion USD. Methods: A thorough evaluation of the relevant extracted literature has been used to answer the question of the most effective ways to regulate health markets to decrease the opioid crisis in the United States, using keywords and phrases such as opioid epidemic in the US, prescription drug abuse, prescription medication abuse in US, medication misuse, cost-effective ways to health market regulation, drug monitoring programs, prescriber continuing education, provider continuing education, and pain management optimization. Results: Overcoming this epidemic nationwide requires improvement in patient utilization of and access to safe and effective treatment options for opioid abuse and overdose, addressing the stigma correlated with opioid use, considering appropriate use of abuse deterrent formulations (ADF) along with patient education, and improving prescribing practices via utilization of drug monitoring programs, CDC opioid prescribing guidelines and provider continuing education. Conclusion: Utilizing and implementing the aforementioned steps has shown to be a challenge. Further and repeated attempts are needed, while at the same time considering possible new steps that could help reinforce their utilization further.

A Critical Review of the Social and Behavioral Contributions to the Overdose Epidemic.

More than 750,000 people in the United States died from an overdose between 1999 and 2018; two-thirds of those deaths involved an opioid. In this review, we present trends in opioid overdose rates during this period and discuss how the proliferation of opioid prescribing to treat chronic pain, changes in the heroin and illegally manufactured opioid synthetics markets, and social factors, including deindustrialization and concentrated poverty, contributed to the rise of the overdose epidemic. We also examine how current policies implemented to address the overdose epidemic may have contributed to reducing prescription opioid overdoses but increased overdoses involving illegal opioids. Finally, we identify new directions for research to understand the causes and solutions to this critical public health problem, including research on heterogeneous policy effects across social groups, effective approaches to reduce overdoses of illegal opioids, and the role of social contexts in shaping policy implementation and impact.

CDC's Efforts to Quantify Prescription Opioid Overdose Deaths Fall Short.

In a 2018 report titled, Quantifying the Epidemic of Prescription Opioid Overdose Deaths, four senior analysts of the Centers for Disease Control and Prevention (CDC), including the head of the Epidemiology and Surveillance Branch, acknowledged for the first time that the number of prescription opioid overdose deaths reported by the CDC in 2016 was erroneous. The error, they said, was caused by miscoding deaths involving illicitly manufactured fentanyl (IMF) as deaths involving prescribed fentanyl. To understand what caused this error, the authors examined the CDC’s methodology for compiling drug-related mortality data, beginning with the source data obtained from approximately 2.8 million death certificates received each year from state vital statistics registrars. Systemic problems often begin outside the CDC, with a surprisingly high rate of errors and omissions in the source data. Using the CDC’s explanation for what caused the error, the authors show why an international program used by the CDC for reporting mortality is ill-suited for compiling and reporting drug overdose deaths. Except for heroin, methadone, and opium, each of which has an individual program code, all other opioids are separated in just two program codes according to whether they are synthetic or semisynthetic/opiates. Methadone-involved deaths pose a special problem for the CDC because methadone has dual indications for treating pain and for treating opioid use disorder (OUD). In 2019, more than seven times more methadone was administered or dispensed for OUD treatment than was prescribed for pain, yet all methadone-involved deaths are coded by the CDC as involving the prescribed form of the drug. The authors conclude that the CDC was at fault for failing to recognize and correct this problem before 2016. Public policy consequences of this failure are briefly mentioned.

We Need to Talk About Codeine: an Implementation Study to reduce the number of Emergency Department patients discharged on high-strength co-codamol using the Behaviour Change Wheel

BackgroundThe crisis of prescription opioid addiction in the USA is well-documented. Though opioid consumption per capita is lower in the UK, prescribing has increased dramatically in recent decades with an...

Opioid-related emergencies in New York City after the Great Recession

BackgroundThe rise in opioid-related mortality and opioid-related emergency department (ED) visits has stimulated research on whether broader economic declines, such as the Great Recession, affect opioid-related morbidity. We examine in New York City whether one measure of morbidity—opioid-related ED visits—responded acutely to the large negative “shock” of the Great Recession. MethodsData comprise outpatient “treat and release” opioid-related ED visits in New York City for the 72 months spanning January 2006 to December 2011, taken from the Statewide Emergency Department Database (n = 150,246). We modeled the monthly incidence of opioid-related ED visits using Autoregressive, Integrated, Moving Average (ARIMA) time-series methods to control for patterning in ED visits before examining its potential association with the economic shock of the Great Recession. ResultsNew York City shows a mean of 1761 outpatient ED visits per month for opioid dependence and abuse. Unexpectedly large drops in employment coincide with fewer than expected opioid dependence and abuse ED visits in that same month. The result (coefficient = 0.046, 95% Confidence Interval [CI]: 0.002, 0.090) represents a 0.8% drop in overall incidence of opioid dependence and abuse ED visits during the Great Recession. We, however, observe no association between the Great Recession and ED visits for prescription opioid overdose or heroin overdose, or with inpatient ED visits for opioid dependence and abuse. ConclusionsFindings, if replicated, indicate distinct short-term reductions in opioid-related morbidity following the Great Recession. This result diverges from previous findings of increased opioid use following extended economic downturns.

Managing Nonmedical Opioid Use Among Patients With Cancer Pain During the COVID-19 Pandemic Using the CHAT Model and Telehealth

Managing Nonmedical Opioid Use Among Patients With Cancer Pain During the COVID-19 Pandemic Using the CHAT Model and Telehealth

The American Opioid Epidemic in Special Populations: Five Examples.

The United States is in the midst of an unprecedented crisis of prescription and illicit opioid misuse, use disorder, and overdose. In 2018, nearly 47,000 Americans died from an overdose involving opioids [174]. In 2018, 10.3 million people aged 12 years and older reported misusing prescription opioids or using heroin, and 2 million […]

Recreational Cannabis Use and Risk of Prescription Opioid Overdose: Insights from Pediatric Inpatients.

ObjectivesOur first goal is to evaluate the prevalence of hospital admissions for prescription opioid overdose (POD) in pediatric inpatients, and next goal is to measure the independent association between cannabis use disorders (CUD) and POD.MethodsWe used the nationwide inpatient sample (NIS) and included 27,444,239 pediatric inpatients (age ≤ 18 years), and 10,562 (0.04%) were managed primarily for POD. The odds ratio (OR) of the association of variables in POD inpatients was measured using the binomial logistic regression model that was adjusted for demographic confounders and psychiatric comorbidities.ResultsAdolescents have higher odds (OR 10.75, 95% CI 10.16-11.36) of POD-related hospitalization compared to children ≤ 12 years. Whites formed the significant proportion (67%), and those from low-income families (<50th percentile) had higher likelihood for POD-related hospitalization. The most prevalent psychiatric comorbidities were mood disorders (44.3%) and anxiety disorders (14.6%). Prevalent comorbid substance use disorders (SUDs) included cannabis (14.2%), tobacco (13.1%), and opioid (9.4%). A higher odds of association with POD-related hospitalizations were seen in pediatric inpatients with comorbid opioid (OR 8.79, 95% CI 8.08-9.56), tobacco (OR 1.58, 95% CI 1.47-1.70), and cannabis (OR 1.68, 95% CI 1.57-1.81) use disorders.ConclusionThe prescription opioid is a bridge to opioid abuse/dependence, thereby increasing the risk of other SUDs like tobacco (by 58%) and cannabis (by 68%). Regulating the easy availability of prescription opioids and also improving the existing prescription trends are an essential way to reduce this problem. Finally, awareness and counseling are recommended strategies for harm reduction/rehabilitation among the pediatric population.

Modifying and Evaluating the Opioid Overdose Knowledge Scale for Prescription Opioids: A Pilot Study of the Rx-OOKS.

To develop a validated instrument that measures knowledge about prescription opioid overdose. Within an integrated health care system, we adapted, piloted, and tested the reliability and predictive validity of a modified Opioid Overdose Knowledge Scale (OOKS) instrument specific to prescription opioids (Rx-OOKS) with a patient population prescribed long-term opioid therapy and potentially at risk of opioid overdose. We used an interdisciplinary team approach and patient interviews to adapt the instrument. We then piloted the survey on a patient sample and assessed it using Cronbach's alpha and logistic regression. Rx-OOKS (N = 56) resulted in a three-construct, 25-item instrument. Internal consistency was acceptable for the following constructs: "signs of an overdose" (10 items) at α = 0.851, "action to take with opioid overdose" (seven items) at α = 0.692, and "naloxone use knowledge" (eight items) at α = 0.729. One construct, "risks of an overdose" (three items), had an α of 0.365 and was subsequently eliminated from analysis due to poor performance. We conducted logistic regression to determine if any of the constructs was strongly associated with future naloxone receipt. Higher scores on "actions to take in an overdose" had nine times the odds of receiving naloxone (odds ratio [OR] = 9.00, 95% confidence interval [CI] = 1.42-57.12); higher "naloxone use knowledge" scores were 15.8 times more likely to receive naloxone than those with lower scores (OR = 15.83, 95% CI = 1.68-149.17). The Rx-OOKS survey instrument can reliably measure knowledge about prescription opioid overdose recognition and naloxone use. Further, knowledge about actions to take during an opioid overdose and naloxone use were associated with future receipt of naloxone.