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OBJECTIVE: The abuse of prescription drugs and over-the-counter medicines has been a major issue addressed as a serious public health problem worldwide. This study explored factors contributing to substance abuse in Korea by examining the status of substance abuse among Korean adults and evaluating their knowledge, attitudes, and intentions toward substance abuse. METHODS: Data were collected online from a sample of participants 19 years old or older from May 20 to June 1, 2020 (n=1,020). The survey consisted of questions on demographics, perceptions of drug risk, motives for drug use, and attitudes toward drug addiction treatment. Principal component and multiple logistic regression analyses were used to explore the factors contributing to the perception of drug abuse. RESULTS: In the multivariate regression analysis, overconfidence in handling drug usage, acceptance of addictive substances, and affirmation of public support for drug abuse were associated with opioid abuse (Nagelkerke R2=0.486), and additionally affirmation of legal cannabis usage and motivation to use diet pills were associated with diet pill abuse (Nagelkerke R2=0.569). CONCLUSION: The findings of this study suggest that the actual situation of substance abuse among Korean adults increases awareness of and attitudes toward drug use related to substance abuse.

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Grim national statistics about the U.S. opioid crisis are increasingly well known to the American public. Far less well known is that U.S. servicemembers are at ground zero of the epidemic, with veterans facing an overdose death rate of up to twice that of civilians. Exploiting a quasi-experiment in overseas deployment assignment, this study estimates the causal impact of combat exposure among the deployed in the Global War on Terrorism on opioid abuse. We find that exposure to war theater substantially increased the risk of prescription painkiller abuse and illicit heroin use among active duty servicemen. The magnitudes of our estimates imply lower-bound combat exposure-induced healthcare costs of $1.04 billion per year for prescription painkiller abuse and $470 million per year for heroin use.

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Opioid prescribing in the United States is decreasing, however, the opioid epidemic is continuing at an uncontrollable rate. Available data show a significant number of opioid deaths, primarily associated with illicit fentanyl use. It is interesting to also note that the data show no clear correlation between opioid prescribing (either number of prescriptions or morphine milligram equivalent [MME] per capita), opioid hospitalizations, and deaths. Furthermore, the data suggest that the 2016 guidelines from the Centers for Disease Control and Prevention (CDC) have resulted in notable problems including increased hospitalizations and mental health disorders due to the lack of appropriate opioid prescribing as well as inaptly rapid tapering or weaning processes. Consequently, when examined in light of other policies and complications caused by COVID-19, a fourth wave of the opioid epidemic has been emerging. In light of this, we herein seek to provide guidance for the prescription of opioids for the management of chronic non-cancer pain. These clinical practice guidelines are based upon a systematic review of both clinical and epidemiological evidence and have been developed by a panel of multidisciplinary experts assessing the quality of the evidence and the strength of recommendations and offer a clear explanation of logical relationships between various care options and health outcomes. The methods utilized included the development of objectives and key questions for the various facets of opioid prescribing practice. Also utilized were employment of trustworthy standards, and appropriate disclosures of conflicts of interest(s). The literature pertaining to opioid use, abuse, effectiveness, and adverse consequences was reviewed. The recommendations were developed after the appropriate review of text and questions by a panel of multidisciplinary subject matter experts, who tabulated comments, incorporated changes, and developed focal responses to questions posed

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BACKGROUND: Opioid prescribing in the United States is decreasing, however, the opioid epidemic is continuing at an uncontrollable rate. Available data show a significant number of opioid deaths, primarily associated with illicit fentanyl use. It is interesting to also note that the data show no clear correlation between opioid prescribing (either number of prescriptions or morphine milligram equivalent [MME] per capita), opioid hospitalizations, and deaths. Furthermore, the data suggest that the 2016 guidelines from the Centers for Disease Control and Prevention (CDC) have resulted in notable problems including increased hospitalizations and mental health disorders due to the lack of appropriate opioid prescribing as well as inaptly rapid tapering or weaning processes. Consequently, when examined in light of other policies and complications caused by COVID-19, a fourth wave of the opioid epidemic has been emerging. OBJECTIVES: In light of this, we herein seek to provide guidance for the prescription of opioids for the management of chronic non-cancer pain. These clinical practice guidelines are based upon a systematic review of both clinical and epidemiological evidence and have been developed by a panel of multidisciplinary experts assessing the quality of the evidence and the strength of recommendations and offer a clear explanation of logical relationships between various care options and health outcomes. METHODS: The methods utilized included the development of objectives and key questions for the various facets of opioid prescribing practice. Also utilized were employment of trustworthy standards, and appropriate disclosures of conflicts of interest(s). The literature pertaining to opioid use, abuse, effectiveness, and adverse consequences was reviewed. The recommendations were developed after the appropriate review of text and questions by a panel of multidisciplinary subject matter experts, who tabulated comments, incorporated changes, and developed focal responses to questions posed. The multidisciplinary panel finalized 20 guideline recommendations for prescription of opioids for chronic non-cancer pain. Summary of the results showed over 90% agreement for the final 20 recommendations with strong consensus. The consensus guidelines included 4 sections specific to opioid therapy with 1) ten recommendations particular to initial steps of opioid therapy; 2) five recommendations for assessment of effectiveness of opioid therapy; 3) three recommendations regarding monitoring adherence and side effects; and 4) two general, final phase recommendations. LIMITATIONS: There is a continued paucity of literature of long-term opioid therapy addressing chronic non-cancer pain. Further, significant biases exist in the preparation of guidelines, which has led to highly variable rules and regulations across various states. CONCLUSION: These guidelines were developed based upon a comprehensive review of the literature, consensus among expert panelists, and in alignment with patient preferences, and shared decision-making so as to improve the long-term pain relief and function in patients with chronic non-cancer pain. Consequently, it was concluded - and herein recommended - that chronic opioid therapy should be provided in low doses with appropriate adherence monitoring and understanding of adverse events only to those patients with a proven medical necessity, and who exhibit stable improvement in both pain relief and activities of daily function, either independently or in conjunction with other modalities of treatments.

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The persisting use of opioids following bariatric surgery has emerged as a prevalent complication, heightening the probability of opioid-related harm (ORM), such as opioid-related fatalities and prescription opioid use disorder (OUD). A comprehensive review of PubMed literature from 1990 to 2023 was conducted to pinpoint physiological influences on postoperative ORM. As a result, we found that patients undertaking bariatric operations often exhibit an inherently higher risk for substance use disorders, likely attributable to genetic predisposition and related neurobiological changes that engender obesity and addiction-like tendencies. Furthermore, chronic pain is a common post-bariatric surgery complaint, and the surgical type impacts opioid needs, with increased long-term opioid use after surgeries. Additionally, the subjective nature of pain perception in patients with obesity can distort pain reporting and the corresponding opioid prescription both before and after surgery. Furthermore, the postoperative alterations to the gastrointestinal structure can affect the microbiome and opioid absorption rates, resulting in fluctuating systemic exposure to orally ingested opioids. The prospect of ORM development post-bariatric surgery appears amplified due to a preexisting susceptibility to addictive habits, surgically induced pain, modified gut-brain interaction and pain management and the changed pharmacokinetics post-surgery. Further research is warranted to clarify these potential risk variables for ORM, specifically OUD, in the bariatric population.

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Pregabalin (PGB) has been commonly subjected to diversion, from being a prescription drug to a recreational drug. In this study, pregabalin use (which is one of the substances subject to control in Turkey) and the concomitant use of other substances in cases admitted to the Izmir Forensic Medicine Institute was evaluated. Samples from 15,259 cases were screened, between June 2017 and December 2018, for the presence of PGB, and PGB positive cases were further analyzed. Of all cases screened, PGB was detected in 3.2% (n = 487). The mean age of PGB positive cases was 29.24 ± 10.34 years old (min: 14, max: 84), and 94% of them were male. Cannabis metabolite THC-COOH was the most common substance detected in the blood samples following PGB. Overall, 8 other substances were commonly used along with PGB. These substances were cannabis, morphine, hydromorphone, codeine, hydrocodone, heroin, paracetamol, and naproxen. Finally, we observed similar results in urine analysis. This research provides systematic data for PGB use in forensic cases in Turkey. The study findings indicate that PGB and multiple drug use increased over time, and providers should be particularly careful when prescribing PGB.

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BACKGROUND: Unsolicited Reporting Notifications(URNs) have been a component of Maryland's Prescription Drug Monitoring Program (PDMP) since 2016. We evaluated the effect of URNs on providers' prescription behaviors. METHODS: This is a quasi-experimental study of providers who were issued at least one URN from January 2018 to April 2021. Providers for whom URNs were not successfully delivered were designated as a comparison group. The outcome variables were average daily opioid and benzodiazepine prescriptions, average morphine milligram equivalents per patient, and proportion of overlapping opioid and benzodiazepine, either with or without muscle relaxant prescriptions. Changes were compared before versus after the issuance of a URN among the intervention and comparison groups using "Generalized Estimation Equation" and "Generalized Linear" Models. We also conducted stratified analyses by types of URN, including notifications for multiple provider episodes (MPE), overdose fatality (ODF), and dangerous drug combinations (DDC). RESULTS: The average daily number of opioids prescriptions (3.3% decrease in the intervention group vs 22.7% increase in the comparison group, P<0.001), co-prescription of opioids and benzodiazepines either with muscle relaxants (68.0% decrease vs. 36.1% decrease, P<0.001), or without muscle relaxants (6.0% decrease vs. 16.3% increase, P<0.001), significantly reduced after the first URN regardless of the type of URN. Stratified analysis by types of URNs showed that ODF and DDC URNs had a significant effect on most of the outcomes of interest. CONCLUSION: The findings suggest that unsolicited reporting, especially particular types of URNs including ODF and DDC, is associated with subsequent changes in unsafe prescribing behaviors.

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The opioid crisis in the United States has had devastating effects on communities across the country, leading many states to pass legislation that limits the prescription of opioid medications in an effort to reduce the number of overdose deaths. This study investigates the impact of South Carolina's prescription limit law (S.C. Code Ann. 44-53-360), which aims to reduce opioid overdose deaths, on opioid prescription rates. The study utilizes South Carolina Reporting and Identification Prescription Tracking System (SCRIPTS) data and proposes a distance classification system to group records based on proximity and evaluates prescription volumes in each distance class. Prescription volumes were found to be highest in classes with pharmacies located further away from the patient. An Interrupted Time Series (ITS) model is utilized to assess the policy impact, with benzodiazepine prescriptions as a control group. The ITS models indicate an overall decrease in prescription volume, but with varying impacts across the different distance classes. While the policy effectively reduced opioid prescription volumes overall, an unintended consequence was observed as prescription volume increased in areas where prescribers were located at far distances from patients, highlighting the limitations of state-level policies on doctors. These findings contribute to the understanding of the effects of prescription limit laws on opioid prescription rates and the importance of considering location and distance in policy design and implementation.

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OBJECTIVE: Individuals who are family history positive (FHP) for substance use problems have increased risk for substance use, substance use disorders (SUDs), and psychopathology. Links between FHP status and prescription drug misuse (PDM) have not been well investigated; this study examined PDM in adults 50 and older by FHP status. METHODS: Data were from the US NESARC-III (n = 14,667). Participants reported their opioid PDM, tranquilizer/sedative PDM, SUD, psychopathology, and family history status (i.e. first- and second-degree relatives with alcohol/substance use problems). Prevalence rates were estimated by FHP status, and logistic regressions compared FHP and family history negative (FHN) groups. RESULTS: FHP status was associated with significantly higher rates of PDM (e.g. past-year opioid PDM, FHP: 3.8%, FHN: 1.5%) and SUD from PDM (e.g. past-year SUD, FHP: 1.2%, FHN: 0.2%); also, prevalence varied by family history density, with the highest rates in those with three or more relatives with substance use problems (e.g. past-year opioid PDM: 5.5%). Overall, 32.2% of FHP individuals with past-year PDM had past-year co-occurring SUD and psychopathology diagnoses, versus 11.0% of FHN individuals. CONCLUSION: FHP status could inform treatment decisions in adults 50 and older with conditions for which prescription opioids or tranquilizer/sedatives are indicated.

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BACKGROUND: Prescribing benzodiazepines to patients taking chronic opioid analgesic therapy increases risks of adverse events. In 2016, the Centers for Disease Control and Prevention recommended avoidance of benzodiazepine prescribing concurrently with opioids, and various organizations have instituted similar guidelines. We aimed to determine the frequency and patterns of benzodiazepine prescribing at Mayo Clinic primary care (Community Internal Medicine, Family Medicine) clinics for patients taking chronic opioid analgesic therapy and the characteristics of patients receiving the prescriptions and providers administering them. METHODS: This retrospective observational study included adult patients taking chronic opioid analgesic therapy for 2 full years in 2018 and 2019 at Mayo Clinic primary care practices in Arizona and Florida. We assessed electronic health records for these individual patients to determine whether they received a benzodiazepine prescription during the study period and how frequently they received a prescription. Variations in prescriptions by provider specialty, location, and sex were studied. Documented data included receipt of a benzodiazepine prescription by patients with at-risk alcohol use or alcohol use disorder, depression, anxiety, chronic obstructive pulmonary disease, falls, and psychiatric referral. Data were compared between patients who received benzodiazepines and those who did not with the Kruskal-Wallis test or χ2 test, and the Wilcoxon signed rank test was used to assess whether the change in number of benzodiazepine prescriptions (2018 vs. 2019) was different from zero. RESULTS: Study participants (N = 457) were predominantly women (n = 266, 58.2%); median age was 69 years. In total, 148 patients (32.4%) received benzodiazepine prescription. These patients were more likely to be women (P = .046) and younger (P = .02). Mean percentage change was 176.9% (P < .001) in number of benzodiazepine prescriptions provided from 2018 to 2019. Frequency of referral to mental health providers was low, as was presence of an established mental health provider despite a greater prevalence of anxiety (P < .001) and depression (P = .001) among patients receiving benzodiazepines. CONCLUSION: Benzodiazepine prescription to individual patients taking chronic opioid analgesic therapy significantly increased from 2018 to 2019 despite the documented risks and harms associated with such practice. No statistically significant difference was observed in frequency of benzodiazepine prescriptions between practice location, sex of provider, or specialty.

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In the past twenty years, the consumption of opioid medications has reached significant proportions, leading to a rise in drug misuse and abuse and increased opioid dependence and related fatalities. Thus, the purpose of this study was to determine whether there are pharmacovigilance signals of abuse, misuse, and dependence and their nature for the following prescription opioids: codeine, dihydrocodeine, fentanyl, oxycodone, pentazocine, and tramadol. Both the pharmacovigilance datasets EudraVigilance (EV) and the FDA Adverse Events Reporting System (FAERS) were analyzed to identify and describe possible misuse-/abuse-/dependence-related issues. A descriptive analysis of the selected Adverse Drug Reactions (ADRs) was performed, and pharmacovigilance signal measures (i.e., reporting odds ratio, proportional reporting ratio, information component, and empirical Bayesian geometric mean) were computed for preferred terms (PTs) of abuse, misuse, dependence, and withdrawal, as well as PTs eventually related to them (e.g., aggression). From 2003 to 2018, there was an increase in ADR reports for the selected opioids in both datasets. Overall, 16,506 and 130,293 individual ADRs for the selected opioids were submitted to EV and FAERS, respectively. Compared with other opioids, abuse concerns were mostly recorded in relation to fentanyl and oxycodone, while tramadol and oxycodone were more strongly associated with drug dependence and withdrawal. Benzodiazepines, antidepressants, other opioids, antihistamines, recreational drugs (e.g., cocaine and alcohol), and several new psychoactive substances, including mitragynine and cathinones, were the most commonly reported concomitant drugs. ADRs reports in pharmacovigilance databases confirmed the availability of data on the abuse and dependence of prescription opioids and should be considered a resource for monitoring and preventing such issues. Psychiatrists and clinicians prescribing opioids should be aware of their misuse and dependence liability and effects that may accompany their use, especially together with concomitant drugs.

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Despite increasing reports, antidepressant (AD) misuse and dependence remain underestimated issues, possibly due to limited epidemiological and pharmacovigilance evidence. Thus, here we aimed to determine available pharmacovigilance misuse/abuse/dependence/withdrawal signals relating to the Selective Serotonin Reuptake Inhibitors (SSRI) citalopram, escitalopram, paroxetine, fluoxetine, and sertraline. Both EudraVigilance (EV) and Food and Drug Administration-FDA Adverse Events Reporting System (FAERS) datasets were analysed to identify AD misuse/abuse/dependence/withdrawal issues. A descriptive analysis was performed; moreover, pharmacovigilance measures, including the reporting odds ratio (ROR), the proportional reporting ratio (PRR), the information component (IC), and the empirical Bayesian geometric mean (EBGM) were calculated. Both datasets showed increasing trends of yearly reporting and similar signals regarding abuse and dependence. From the EV, a total of 5335 individual ADR reports were analysed, of which 30% corresponded to paroxetine (n = 1592), 27% citalopram (n = 1419), 22% sertraline (n = 1149), 14% fluoxetine (n = 771), and 8% escitalopram (n = 404). From FAERS, a total of 144,395 individual ADR reports were analysed, of which 27% were related to paroxetine, 27% sertraline, 18% citalopram, 16% fluoxetine, and 13% escitalopram. Comparing SSRIs, the EV misuse/abuse-related ADRs were mostly recorded for citalopram, fluoxetine, and sertraline; conversely, dependence was mostly associated with paroxetine, and withdrawal to escitalopram. Similarly, in the FAERS dataset, dependence/withdrawal-related signals were more frequently reported for paroxetine. Although SSRIs are considered non-addictive pharmacological agents, a range of proper withdrawal symptoms can occur well after discontinuation, especially with paroxetine. Prescribers should be aware of the potential for dependence and withdrawal associated with SSRIs.

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Accumulating evidence shows that some antidepressants are abused for their psychostimulant effects, but the extent of antidepressants abuse is unknown in subjects with opioid use disorders (OUD). The objective of this work is to assess the prevalence of antidepressant abuse and its correlates in subjects with OUD. Subjects ≥18 year-old in an opiate maintenance treatment (OMT) program who reported using an antidepressant were selected from the OPPIDUM program from 2011 to 2020. The outcome was antidepressant abuse. Antidepressant abusers were identified as subjects reporting at least one of the following behaviors: "drug abuse," "concomitant use of alcohol," "illegal obtaining," and "dose higher than recommended in the Summary of Product Characteristics." Among the 83 040 observations of subjects ≥18 year-old in an OMT program included in the OPPIDUM program from 2011 to 2020, 2708 (3.3%) subjects reported using an antidepressant in monotherapy. Among them, there were 385 (14.2%) abusers. The proportion of abusers was the highest for amitriptyline (n = 31, 25.0%). In multivariate analysis, antidepressant abuse was positively associated with amitriptyline (OR 2.07, 95% CI [1.16, 3.73]; p = 0.015), unemployment (OR 1.52, 95% CI [1.16, 2.01]; p = 0.003), the use of intravenous route of administration (OR 1.77, 95% CI [1.12, 2.80]; p = 0.014), and the use of benzodiazepines (OR 1.53, 95% CI [1.21, 1.94]; p < 0.001). Clinicians should be aware of the risk of antidepressant abuse when prescribing in subjects with OUD, accounting for their heterogeneous pharmacological properties that may account for their abuse potential.

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BACKGROUND: Gabapentinoids (i.e., gabapentin and pregabalin) are medications approved for epilepsy, chronic pain, or generalized anxiety disorder. Recently, there have been regular reports of misuse of pregabalin, and to a lesser extent, gabapentin, in particular among opioid and polydrug users. OBJECTIVES: To longitudinally explore the amounts of gabapentinoids dispensed in Lyon's Permanent Access to Healthcare (PASS) units, which offer permanent and free healthcare to precarious populations with no healthcare insurance coverage. METHODS: We collected the amounts of pregabalin and gabapentin dispensed in the three PASS units of Lyon and calculated the average doses dispensed monthly between 2016 and the first quarter of 2021 (1Q2021), with and without adjustment for the number of dispensing visits. RESULTS: The total doses of gabapentinoid dispensed every month in Lyon's PASS units displayed a 1233% increase for pregabalin, and a 1185% increase for gabapentin, between 2016 and 1Q2021. When adjusted for the number of visits, this increase reached a factor of 8.5 for pregabalin and 8.3 for gabapentin, respectively. However, while the increase in pregabalin dispensing was constant throughout the study period, gabapentin total dispensed doses were more fluctuating over time, and the rise of dispensations was thus less straightforward. CONCLUSION: Our study reveals a local but substantial increase in gabapentinoid use in populations with no social insurance. These findings should be confirmed more widely and plead for the systematic collection of anonymous patient data in free healthcare centers in France.

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Opioid analgesics and maintenance treatments, benzodiazepines and z-drugs, and other sedatives and stimulants are increasingly being abused to induce psychoactive effects or alter the effects of other drugs, eventually leading to dependence. Awareness of prescription drug abuse has been increasing in the last two decades, and organizations such as the International Narcotics Control Board has predicted that, worldwide, prescription drug abuse may exceed the use of illicit drugs. Assessment of prescription drug abuse tackles an issue that is hidden by nature, which therefore requires a specific monitoring. The current best practice is to use multiple detection systems to assess prescription drug abuse by various populations in a timely, sensitive, and specific manner. In the early 2000's, we designed a method to detect and quantify doctor shopping for prescription drugs from the French National Health Data System, which is one of the world's largest claims database, and a first-class data source for pharmacoepidemiological studies. Doctor shopping is a well-known behavior that involves overlapping prescriptions from multiple prescribers for the same drug, to obtain higher doses than those prescribed by each prescriber on an individual basis. In addition, doctor shopping may play an important role in supplying the black market. The paper aims to review how doctor shopping monitoring can improve the early detection of prescription drug abuse within a multidimensional monitoring. The paper provides an in-depth overview of two decades of development and validation of the method as a complementary component of the multidimensional monitoring conducted by the French Addictovigilance Network. The process accounted for the relevant determinants of prescription drug abuse, such as pharmacological data (e.g., formulations and doses), chronological and geographical data (e.g., impact of measures and comparison between regions), and epidemiological and outcome data (e.g., profiles of patients and trajectories of care) for several pharmacological classes (e.g., opioids, benzodiazepines, antidepressants, and methylphenidate).

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Introduction: Gabapentinoid drugs (gabapentin and pregabalin) are widely used worldwide for epileptic and pain disorders. First signals of gabapentinoid abuse occurred in the last decade. This study aims to describe clinical characteristics of gabapentinoid use related disorders and health consequences in France. Materials and Methods: We designed a multisource investigation reviewing data reported to the French Addictovigilance Network (FAN) with pregabalin and gabapentin from 2010 to 2019. Information was obtained through the analysis of Spontaneous Reports (SRs) notified by health professionals and the pharmacoepidemiological surveys OSIAP (suspicious prescriptions forms indicators of potential abuse), OPPIDUM (observation of illicit drugs and misuse of psychotropic medications), DRAMES (death related to prescription drugs and other substances), and DTA (toxic deaths due to analgesics). Results: Over 2010-2019 period, were collected: (i) 265 SRs (258 pregabalin; 7 gabapentin); (ii) 816 forged prescription forms (805 pregabalin, 10 gabapentin, 1 involving both drugs); (iii) 145 cases of gabapentinoid use in people who use drugs (121 pregabalin; 24 gabapentin) and (iv) 31 cases of gabapentinoid-related deaths (25 pregabalin; 6 gabapentin). Risk factors of gabapentinoid abuse were opioid use disorders or psychiatric history, but cases of primary abuse in subjects without any substance abuse history were observed. Adverse outcomes concern almost exclusively pregabalin, with coma, dyspnea, convulsion, and conduction disorders. Treatment demands increased from 10.6% in 2018 to 23.1% in 2019, with pregabalin cited as the first substance leading to addictological care in the 2019 OPPIDUM survey. Gabapentinoid-related deaths increased over time. Pregabalin has become the first drug mentioned in forged prescriptions in 2019 (23.8% of OSIAP), while it ranked at the 15th position in 2017 (2.6%). Discussion: This study shows the importance of addictovigilance monitoring for gabapentinoids. Addictovigilance data helped to make visible the gabapentinoid-abuse related health harms (hospitalization for serious neurologic, psychiatric or cardiac effects, requests for addictological support and deaths) and to confirm the intrinsic abuse potential of pregabalin. These data highlight new points of vigilance considering observed primary abuse. At this point in France, the risk of abuse and related complications is very apparent with pregabalin. Still, it is identical to that observed elsewhere with gabapentin.

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OBJECTIVE: To evaluate abuse, misuse, and diversion of Xtampza ER, an extended-release (ER) abuse-deterrent formulation (ADF) of oxycodone. METHODS: Abuse, misuse, and diversion of Xtampza ER were assessed using Researched Abuse, Diversion and Addiction-Related Surveillance (RADARS) System data sources. Xtampza ER was compared with immediate-release (IR) oxycodone, other ADF ER products combined, and non-ADF ER products combined. RESULTS: Xtampza ER prescriptions increased 50-fold during the study period. In contrast, cases from poison centers, substance abuse treatment centers, and diversion were infrequent and did not increase. Adjusted for prescriptions dispensed, poison center exposures were greater for IR oxycodone (rate ratio [RR] = 2.3, P = 0.008), other ADF ER opioids (RR = 5.2, P < 0.001), and non-ADF ER opioids (RR = 2.5, P = 0.004) than for Xtampza ER. In Treatment Center Programs Combined, past-month abuse prevalence for other ADF ER opioids (odds ratio [OR] = 7.4, P < 0.001) and non-ADF ER opioids (OR = 2.0, P = 0.002) was greater than Xtampza ER; IR oxycodone was not significantly different (OR = 1.2, P = 0.349). In the Drug Diversion Program, rates for IR oxycodone (RR = 3.7, P = 0.003), other ADF ER opioids (RR = 4.2, P = 0.002), and non-ADF ER opioids (RR = 3.4, P = 0.007) were greater than Xtampza ER. Adjustment using morphine equivalents provided similar results, except that IR oxycodone in Treatment Center Programs Combined became higher than Xtampza ER. Nonoral abuse cases involving Xtampza ER were infrequent; Web monitoring data support findings that Xtampza ER is difficult to abuse nonorally. CONCLUSION: Xtampza ER abuse, misuse, and diversion and tampering are low relative to other prescription opioid analgesics. Abuse and diversion did not increase over the study period.

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BACKGROUND: Central nervous system depressant medications (CNSDs) such as opioid analgesics and sedative-hypnotics are commonly prescribed to older patients for the treatment of chronic pain, anxiety and insomnia. Yet, while many studies reported potential harms, it remains unknown whether persistent use of these medications is beneficial for older patients' self-reported health-related quality of life (HRQoL). The present study clarified this knowledge gap through comparing HRQoL of hospitalized older patients with versus without using CNSD drugs for ≥4 weeks. Moreover, we explored the relationship between such use and HRQoL, adjusting for the effects of polypharmacy, comorbidity burden and other clinically relevant covariates. METHODS: The study was cross-sectional and included 246 older patients recruited consecutively from somatic departments of a large regional university hospital in Norway. We defined prolonged CNSD use as using opioids, benzodiazepines and/or z-hypnotics for ≥4 weeks. Patients' self-reported HRQoL were measured with scales of the EuroQol EQ-5D-3L instrument. Data analyses were mainly descriptive statistics and regression models. RESULTS: Patients with prolonged use of CNSDs reported lower scores on both EQ-5D index and EQ VAS compared with those without such use (p < 0.001). They had higher odds of having more problems performing usual activities (OR = 3.37, 95% CI: 1.40 to 8.13), pain/discomfort (OR = 2.06, 95% CI: 1.05 to 4.04), and anxiety/depression (OR = 3.77, 95% CI: 1.82 to 7.82). In multivariable regression models, there was no significant association between prolonged CNSD use and HRQoL when including pain as a predictor variable. In models not including pain, CNSD use was strongly associated with HRQoL (adjusted for sociodemographic background, polypharmacy, comorbidity, anxiety and depressive symptoms, regression coefficient - 0.19 (95% CI, - 0.31 to - 0.06). CONCLUSIONS: Older patients with prolonged CNSD use reported poorer HRQoL. They also had more pain and higher depression scores. Prolonged use of CNSDs was not independently associated with higher HRQoL.

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Malingering of ADHD symptoms is a potential means of nonmedical use of prescription stimulants (NMUPS). The Subtle ADHD Malingering Screener (SAMS) provides a potential avenue for identification of symptom malingering. However, no real world evidence of this scale has been published to date. The goal of this study was to examine patterns of use of stimulant prescriptions and to evaluate the ability of the SAMS to identify NMUPS. This study employed a cross-sectional observational design to administer an online, self-administered survey instrument in a convenience sample of college-enrolled young adults with a prescription for stimulant medications at a campus pharmacy. Respondents were asked about their prescription characteristics, nonmedical use and drug diversion behavior, along with ratings on the SAMS. Over 33% of respondents self-reported past-year NMUPS and 18% reported past-year drug diversion. Over 35% of respondents rated NMUPS as being slight or no risk and 55% were classified by the SAMS as likely to be malingering or exaggerating their symptoms. Individuals reporting past-year NMUPS or diversion consistently scored higher on the SAMS. The SAMS showed potential for future application in the pharmacy setting. Further research is needed to evaluate the relationship of SAMS to NMUPS or drug diversion. The results of this study also highlight several growing issues with the diagnosis and treatment of ADHD among young adults enrolled in college. Addressing perception of risk, social norms, and providing healthcare professionals with tools to prevent misdiagnosis is critical to the management of this issue.

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