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Background/Objective The aim of this study was to systematically assess the association of insulin‐manipulation (intentional under‐ and/or overdosing of insulin), psychiatric comorbidity and diabetes complications. Methods Two diagnostic interviews (Diabetes‐Self‐Management‐Patient‐Interview and Children's‐Diagnostic‐Interview for Psychiatric Disorders) were conducted with 241 patients (age 10‐22) with type 1 diabetes (T1D) from 21 randomly selected Austrian diabetes care centers. Medical data was derived from medical records. Results Psychiatric comorbidity was found in nearly half of the patients with insulin‐manipulation (46.3%) compared to a rate of 17.5% in patients, adherent to the prescribed insulin therapy. Depression (18.3% vs 4.9%), specific phobia (21.1% vs 2.9%), social phobia (7.0% vs 0%), and eating disorders (12.7% vs 1.9%) were elevated in patients with insulin‐manipulation. Females (37.7%) were more often diagnosed (P = 0.001) with psychiatric disorders than males (18.4%). In females, the percentage of psychiatric comorbidity significantly increased with the level of non‐adherence to insulin therapy. Insulin‐manipulation had an effect of +0.89% in HbA1c (P = <0.001) compared to patients adherent to insulin therapy, while there was no association of psychiatric comorbidity with metabolic control (HbA1c 8.16% vs 8.12% [65.68 vs 65.25 mmol/mol]). Ketoacidosis, severe hypoglycemia, and frequency of outpatient visits in a diabetes center were highest in patients with insulin‐manipulation. Conclusions This is the first study using a systematic approach to assess the prevalence of psychiatric disorders in patients who do or do not manipulate insulin in terms of intentional under‐ and/or overdosing. Internalizing psychiatric disorders were associated with insulin‐manipulation, especially in female patients and insulin‐manipulation was associated with deteriorated metabolic control and diabetes complications.

BackgroundEmergency department (ED) patients are among the many groups at risk for prescription drug overdose. There is limited research on how best to communicate with ED patients about options for pain management and the risks of opioids. The aim of this study is to pilot test a web-based, patient-centred educational programme that encourages the patient to have an informed discussion about pain medication options with their ED provider.MethodsThis multisite, randomised trial will evaluate an m-health programme designed to aid the patient in making an informed decision about their pain treatment. Patients reporting to the ED with an injury-related or pain- related chief complaint who agree to participate are randomised to receive the intervention programme, My Healthy Choices, or an attention-matched control. My Healthy Choices pairs tailored education with a patient decision aid to describe what opioid and non-opioid pain medications are, assess the patient's risk factors for opioid-related adverse effects, and produce a tailored report that patients are encouraged to share with their doctor. Data are collected through surveys at three time points during the ED encounter (baseline, immediately after the intervention and just before discharge), and at a 6-week follow-up survey. The primary outcomes are whether the patient prefers an opioid pain reliever (OPR) and whether the patient takes an OPR.DiscussionWe hope this programme will facilitate patient-provider communication, as well as reduce the number of prescriptions written for OPRs and thus the number of patients exposed to prescription opioids and the associated risks of addiction and overdose.Trial registration numberNCT03012087; Pre-results.

IMPORTANCE:It is important to understand the magnitude and distribution of the economic burden of prescription opioid overdose, abuse, and dependence to inform clinical practice, research, and other decision makers. Decision makers choosing approaches to address this epidemic need cost information to evaluate the cost effectiveness of their choices. OBJECTIVE:To estimate the economic burden of prescription opioid overdose, abuse, and dependence from a societal perspective. DESIGN, SETTING, AND PARTICIPANTS:Incidence of fatal prescription opioid overdose from the National Vital Statistics System, prevalence of abuse and dependence from the National Survey of Drug Use and Health. Fatal data are for the US population, nonfatal data are a nationally representative sample of the US civilian noninstitutionalized population ages 12 and older. Cost data are from various sources including health care claims data from the Truven Health MarketScan Research Databases, and cost of fatal cases from the WISQARS (Web-based Injury Statistics Query and Reporting System) cost module. Criminal justice costs were derived from the Justice Expenditure and Employment Extracts published by the Department of Justice. Estimates of lost productivity were based on a previously published study. EXPOSURE:Calendar year 2013. MAIN OUTCOMES AND MEASURES:Monetized burden of fatal overdose and abuse and dependence of prescription opioids. RESULTS:The total economic burden is estimated to be $78.5 billion. Over one third of this amount is due to increased health care and substance abuse treatment costs ($28.9 billion). Approximately one quarter of the cost is borne by the public sector in health care, substance abuse treatment, and criminal justice costs. CONCLUSIONS AND RELEVANCE:These estimates can assist decision makers in understanding the magnitude of adverse health outcomes associated with prescription opioid use such as overdose, abuse, and dependence.

In this analysis of Medicare data and a data set of state laws, adoption of legislation to restrict the prescribing and dispensing of opioid medications was not associated with reductions in potentially hazardous use of opioids among disabled Medicare beneficiaries. States have responded to rising rates of prescription-opioid overdose by adopting laws that restrict the prescribing and dispensing of controlled substances. In 2010, after the adoption of many new controlled-substance restrictions, rates of prescription-opioid overdose dipped slightly before reaching a historic high in 2014. 1 – 3 The relationship between legal restrictions and prescription-opioid use remains unclear, because previous research evaluated one or two laws, short time periods, or few states. 4 – 6 Comprehensive national analyses of controlled-substance restrictions and prescription-opioid use do not yet exist. Successful regulation of prescription opioids involves a difficult balance. Well-designed laws may reduce misuse and overdose. However, . . .

Purpose of Review The opioid crisis most likely is the most profound public health crisis our nation has faced. In 2015 alone, 52,000 people died of drug overdoses, with over 30,000 of those people dying from opioid drugs. A recent community forum led by the Cleveland Clinic contrasted this yearly death rate with the loss of 58,000 American lives in 4 years of the Vietnam War. The present review describes the origins of this opioid epidemic and provides context for our present circumstances. Recent Findings Alarmingly, the overwhelming majority of opioid abusers begin their addiction with prescription medications, primarily for chronic pain. Chronic postoperative pain, which occurs in 10–50% of surgical patients, is a major concern in many types of surgery. Nationwide, the medical community has made it a priority to ensure that postsurgical analgesia is sufficient to control pain without increasing non-medically appropriate opioid use. Summary The opioid epidemic remains a significant pressing issue and will not resolve easily. Numerous factors, including the inappropriate prescription of opioids, lack of understanding of the potential adverse effects of long-term therapy, opioid misuse, abuse, and dependence, have contributed to the current crisis.

Benefits of antibiotics are threatened by the self-medication, people's lack of knowledge and inappropriate use of antibiotics, especially in developing countries. This study was designed to determine knowledge; attitudes and practices toward antibiotics use in an urban community, and evaluate the factors that are associated with antibiotic use. Between January and March 2015, a cross sectional and prospective study was conducted in all pharmacies within the Douala IV health district, Cameroon. Anonymous interviews including both open and closed ended questions were conducted in participants selected by convenience sampling Descriptive and logistic regression analysis were performed using StataSE11 software (version 11 SE) and R software (version 3.1.1) in data analysis. Overall 402 (33.7%) of 1,192 customers purchased antibiotics and of these, 47% bought antibiotics without a prescription. 60.7% of purchased antibiotics was for adult 'patients and around 60% of parents carried out self-medication on their children. The vast majority reported that all microbes can be treated with antibiotics (88.3%). The belief that antibiotics are appropriate for bacterial infections was more common among those with a higher level education (OR = 4.03, 95%CI:1.89-8.57, p<0.0001) and among public/private servants (OR = 2.47, 95%CI:1.21-5.08, p = 0.013). Physicians provide less explanations about antibiotics are and their potential side effects than the pharmacy auxiliaries (OR = 0.205, 95%CI = 0.09-0.46, p<0.0001), but more than pharmacists (OR = 3.692, 95%CI:1.44-9.25, p = 0.005). Indications on antibiotics use were 7 times more given to customers with a prescription compared to those without a prescription (OR = 7.37, 95% CI = 2.13-25.43, p = 0.002). Adult male (OR = 2.32, 95%CI:1.24-4.34, p = 0.009) and higher education (OR = 2.05, 95%CI:1.08-3.89, p = 0.027) were significantly associated with self-medication. Misuse, little \"practical knowledge\" and high self-medication confirm the unsatisfactory prescription and dispensing practices of the antibiotics in our country. These results highlight the important of the development and implementation appropriate guidelines for the responsible use of antibiotics for health care providers and health education targeting community members themselves.

Introduction Prescription medication overdose is the fastest growing drug-related problem in the USA. The growing nature of this problem necessitates the implementation of improved monitoring strategies for investigating the prevalence and patterns of abuse of specific medications. Objectives Our primary aims were to assess the possibility of utilizing social media as a resource for automatic monitoring of prescription medication abuse and to devise an automatic classification technique that can identify potentially abuse-indicating user posts. Methods We collected Twitter user posts (tweets) associated with three commonly abused medications (Adderall ® , oxycodone, and quetiapine). We manually annotated 6400 tweets mentioning these three medications and a control medication (metformin) that is not the subject of abuse due to its mechanism of action. We performed quantitative and qualitative analyses of the annotated data to determine whether posts on Twitter contain signals of prescription medication abuse. Finally, we designed an automatic supervised classification technique to distinguish posts containing signals of medication abuse from those that do not and assessed the utility of Twitter in investigating patterns of abuse over time. Results Our analyses show that clear signals of medication abuse can be drawn from Twitter posts and the percentage of tweets containing abuse signals are significantly higher for the three case medications (Adderall ® : 23 %, quetiapine: 5.0 %, oxycodone: 12 %) than the proportion for the control medication (metformin: 0.3 %). Our automatic classification approach achieves 82 % accuracy overall (medication abuse class recall: 0.51, precision: 0.41, F measure: 0.46). To illustrate the utility of automatic classification, we show how the classification data can be used to analyze abuse patterns over time. Conclusion Our study indicates that social media can be a crucial resource for obtaining abuse-related information for medications, and that automatic approaches involving supervised classification and natural language processing hold promises for essential future monitoring and intervention tasks.

Objective. In the United States, per-capita opioid dispensing has increased concurrently with analgesic-related mortality and morbidity since the 1990s. To deter diversion and abuse of controlled substances, most states have implemented electronic prescription drug monitoring programs (PDMPs). We evaluated the impact of state PDMPs on opioid dispensing. Methods. We acquired data on opioids dispensed in a given quarter of the year for each state and the District of Columbia from 1999 to 2008 from the Automation of Reports and Consolidated Orders System and converted them to morphine milligram equivalents (MMEs). We used multivariable linear regression modeling with generalized estimating equations to assess the effect of state PDMPs on per-capita dispensing of MMEs. Results. The annual MMEs dispensed per capita increased progressively until 2007 before stabilizing. Adjusting for temporal trends and demographic characteristics, implementation of state PDMPs was associated with a 3% decrease in MMEs dispensed per capita (p= 0.68). The impact of PDMPs on MMEs dispensed per capita varied markedly by state, from a 66% decrease in Colorado to a 61% increase in Connecticut. Conclusions. Implementation of state PDMPs up to 2008 did not show a significant impact on per-capita opioids dispensed. To control the diversion and abuse of prescription drugs, state PDMPs may need to improve their usability, implement requirements for committee oversight of the PDMP, and increase data sharing with neighboring states.

The misuse of stimulant medication among college students is a prevalent and growing problem. The purpose of this review and meta-analysis is to summarize the current research on rates and demographic and psychosocial correlates of stimulant medication misuse among college students, to provide methodological guidance and other ideas for future research, and to provide some preliminary suggestions for preventing and reducing misuse on college campuses. Random-effects meta-analysis found that the rate of stimulant medication misuse among college students was estimated at 17 % (95 % CI [0.13, 0.23], p  < .001) and identified several psychological variables that differentiated misusers and nonusers, including symptoms of attention-deficit/hyperactivity disorder, problems associated with alcohol use, and marijuana use. A qualitative review of the literature also revealed that Greek organization membership, academic performance, and other substance use were associated with misuse. Students are misusing primarily for academic reasons, and the most common source for obtaining stimulant medication is peers with prescriptions. Interpretation of findings is complicated by the lack of a standard misuse definition as well as validated tools for measuring stimulant misuse. The relation between stimulant medication misuse and extra curricular participation, academic outcomes, depression, and eating disorders requires further investigation, as do the reasons why students divert or misuse and whether policies on college campuses contribute to the high rates of misuse among students. Future research should also work to develop and implement effective prevention strategies for reducing the diversion and misuse of stimulant medication on college campuses.

The past decade in the U.S. has been marked by a media fascination with the white prescription opioid cum heroin user. In this paper, we contrast media coverage of white non-medical opioid users with that of black and brown heroin users to show how divergent representations lead to different public and policy responses. A content analysis of 100 popular press articles from 2001 and 2011 in which half describe heroin users and half describe prescription opioid users revealed a consistent contrast between criminalized urban black and Latino heroin injectors with sympathetic portrayals of suburban white prescription opioid users. Media coverage of the suburban and rural opioid “epidemic” of the 2000s helped draw a symbolic, and then legal, distinction between (urban) heroin addiction and (suburban and rural) prescription opioid addiction that is reminiscent of the legal distinction between crack cocaine and powder cocaine of the 1980s and 1990s. This distinction reinforces the racialized deployment of the War on Drugs and is sustained by the lack of explicit discussion of race in the service of “color blind ideology.” We suggest potential correctives to these racially divergent patterns, in the form of socially responsible media practices and of clinical engagement with public policy.