Characteristics of Alcohol, Marijuana, and Other Drug Use Among Persons Aged 13-18 Years Being Assessed for Substance Use Disorder Treatment - United States, 2014-2022.

Substance use often begins during adolescence, placing youths at risk for fatal overdose and substance use disorders (SUD) in adulthood. Understanding the motivations reported by adolescents for using alcohol, marijuana, and other drugs and the persons with whom they use these substances could guide strategies to prevent or reduce substance use and its related consequences among adolescents. A cross-sectional study was conducted among adolescents being assessed for SUD treatment in the United States during 2014-2022, to examine self-reported motivations for using substances and the persons with whom substances were used. The most commonly reported motivation for substance use was "to feel mellow, calm, or relaxed" (73%), with other stress-related motivations among the top reasons, including "to stop worrying about a problem or to forget bad memories" (44%) and "to help with depression or anxiety" (40%); one half (50%) reported using substances "to have fun or experiment." The majority of adolescents reported using substances with friends (81%) or using alone (50%). These findings suggest that interventions related to reducing stress and addressing mental health concerns might reduce these leading motivations for substance use among adolescents. Education for adolescents about harm reduction strategies, including the danger of using drugs while alone and how to recognize and respond to an overdose, can reduce the risk for fatal overdose.

Combating the Opioid Crisis and Its National Security Threat Through CReDO: A Multidisciplinary Solution With Disaster Medicine Implications.

For the first time in history, the United States surpassed 100 000 overdose-related deaths in a 12-month period, driven by synthetic opioids such as fentanyl. Also, for the first time, potential chemical weapons are readily available on the streets and the dark web. Opioids represent a rare trifecta, used for licit pain management, as an illicit drug of abuse, and with potential use as a weapon of terror. Community-based Response to Drug Overdose (CReDO) is an initiative to unite agencies, disciplines, government, and private partners in 1 coordinated opioid emergencies response plan under nationwide standards, and can be integrated into the disaster medicine discipline due to the risk of mass casualty incidents involving fentanyl or its derivatives. Attention to the opioid crisis through CReDO will save lives by promoting information sharing between disciplines, shortened response time to overdose clusters, community collaboration to identify criminal distribution networks, and holistic approaches to addiction.

Guidelines and Policies: Implications for Individual and Population Health.

Rising rates of prescription opioids for chronic pain from the 1990s along with a concomitant worsening overdose crisis led to rapid evaluation and public health strategies to curb problems with prescription opioids. Guideline development, grounded in solid theory but based on limited evidence that translated into rigid and discordant policies, has contributed to controversies in pain management, worsening the treatment experience for people experiencing chronic pain and highlighting existing inequities from a system clouded with systemic racism. Newer public health approaches need to evaluate root causes and be more holistic addressing inequities as well as using trauma-informed principles.

U.S. Military veterans and the opioid overdose crisis: a review of risk factors and prevention efforts.

U.S. military veterans have been heavily impacted by the opioid overdose crisis, with drug overdose mortality rates increasing by 53% from 2010-2019. Risk for overdose among veterans is complex and influenced by ongoing interaction among physiological/biological, psychological, and socio-structural factors. A thorough understanding of opioid-related overdose among veterans, one that goes beyond simple pharmacological determinism, must examine the interplay of pain, pain treatment, and stress, as well as psychological and social experiences-before, during, and after military service. Comprehensive efforts to tackle the overdose crisis among veterans require interventions that address each of these dimensions. Promising interventions include widespread naloxone distribution and increased provision of low-threshold wrap-around services, including medications for opioid use disorder (MOUD) and holistic/complementary approaches. Interventions that are delivered by peers - individuals who share key experiential or sociodemographic characteristics with the population being served - may be ideally suited to address many of the barriers to opioid-related risk mitigation common among veterans. Community care models could be beneficial for the large proportion of veterans who are not connected to the Veterans Health Administration and for veterans who, for various reasons including mental health problems and the avoidance of stigma, are socially isolated or reluctant to use traditional substance use services. Interventions need to be tailored in such a way that they reach those more socially isolated veterans who may not have access to naloxone or the social support to help them in overdose situations. It is important to incorporate the perspectives and voices of veterans with lived experience of substance use into the design and implementation of new overdose prevention resources and strategies to meet the needs of this population. Key messagesU.S. military veterans have been heavily impacted by the opioid overdose crisis, with drug overdose mortality rates increasing by 53% from 2010-2019.The risks for overdose that veterans face need to be understood as resulting from an ongoing interaction among biological/physiological, psychological, and social/structural factors.Addressing drug overdose in the veteran population requires accessible and non-judgemental, low threshold, wraparound, and holistic solutions that recognise the complex aetiology of overdose risk for veterans.

Conceptualizing the Socio-Built Environment: An Expanded Theoretical Framework to Promote a Better Understanding of Risk for Nonmedical Opioid Overdose Outcomes in Urban and Non-Urban Settings.

Nonmedical opioid (NMO) use has been linked to significant increases in rates of NMO morbidity and mortality in non-urban areas. While there has been a great deal of empirical evidence suggesting that physical features of built environments represent strong predictors of drug use and mental health outcomes in urban settings, there is a dearth of research assessing the physical, built environment features of non-urban settings in order to predict risk for NMO overdose outcomes. Likewise, there is strong extant literature suggesting that social characteristics of environments also predict NMO overdoses and other NMO use outcomes, but limited research that considers the combined effects of both physical and social characteristics of environments on NMO outcomes. As a result, important gaps in the scientific literature currently limit our understanding of how both physical and social features of environments shape risk for NMO overdose in rural and suburban settings and therefore limit our ability to intervene effectively. In order to foster a more holistic understanding of environmental features predicting the emerging epidemic of NMO overdose, this article presents a novel, expanded theoretical framework that conceptualizes "socio-built environments" as comprised of (a) environmental characteristics that are applicable to both non-urban and urban settings and (b) not only traditional features of environments as conceptualized by the extant built environment framework, but also social features of environments. This novel framework can help improve our ability to identify settings at highest risk for high rates of NMO overdose, in order to improve resource allocation, targeting, and implementation for interventions such as opioid treatment services, mental health services, and care and harm reduction services for people who use drugs.

Cannabis Use and Nonfatal Opioid Overdose among Patients Enrolled in Methadone Maintenance Treatment.

BACKGROUND: Some ecological studies found lower rates of opioid overdose in states with liberalized cannabis legislation, but results are mixed, and the association has not been analyzed in individuals. We quantified the association between cannabis use and nonfatal opioid overdose among individuals enrolled in methadone maintenance treatment (MMT) for opioid use disorder (OUD). METHODS: We recruited a convenience sample of individuals enrolled in four MMT clinics in Washington State and southern New England who completed a one-time survey.Descriptive statistics and multivariate logistic regression compared the prevalence and risk of nonfatal opioid overdose in the past 12 months between participants reporting frequent (at least weekly) or infrequent (once or none) cannabis use in the past month. RESULTS: Of 446 participants, 35% (n = 156) reported frequent cannabis use and 7% (n = 32) reported nonfatal opioid overdose in the past year. The prevalence of nonfatal opioid overdose was 3% among reporters of frequent cannabis use, and 9% among reporters of infrequent/no use (p = 0.02). After imputing missing data and controlling for demographic and clinical factors, the likelihood of self-reported nonfatal opioid overdose in the past year was 71% lower among reporters of frequent cannabis use in the past month (adjusted RR = 0.29, 95% CI 0.10-0.80, p = 0.02). CONCLUSIONS: Among individuals enrolled in MMT, frequent cannabis use in the past month was associated with fewer self-reported nonfatal opioid overdoses in the past year. Methodological limitations caution against causal interpretation of this relationship. Additional studies are needed to understand the prospective impact of co-occurring cannabis on opioid-related outcomes.

Opioid exposure associated with poppy consumption reported to poison control centers and the U.S. Food and Drug Administration.

OBJECTIVE: To assess characteristics of exposures to contaminated poppy and identify trends in exposure and poppy-related deaths. METHODS: Cross-sectional analysis of adverse events associated with exposure to poppy products (primarily poppy seeds) from the American Association of Poison Control Centers' National Poison Data System (NPDS), 2000-2018, supplemented with analysis of overdoses and deaths related to poppy from the U.S. Food and Drug Administration (FDA) Center for Food Safety and Applied Nutrition's Adverse Event Reporting System (CAERS) (2004-2018), and the FDA Adverse Event Reporting System (FAERS) (1968-2018). RESULTS: There were 591 NPDS exposure cases involving poppy between 2000 and 2018 including 392 in persons aged 13+. Rates of intentional exposures in NPDS increased among the age 13+ group over the study period. Most intentional exposures occurred in males in their teens and twenties. NPDS included 18 overdoses and three deaths likely attributable to poppy, most involving poppy seed tea. CAERS and FAERS included five additional deaths likely attributable to opioids in poppy. CONCLUSIONS: Including previously reported cases, there are now at least 19 U.S. deaths associated with poppy seeds in the literature. We recommend that practitioners working in opioid treatment and recovery be alert to use of poppy to treat pain and symptoms of withdrawal.

"That's No Longer Tolerated": Policing Patients' Use of Non-opioid Substances in Methadone Maintenance Treatment.

The current overdose crisis in the United States emphasizes the importance of providing substance use treatment programs that are not only effective but tailored to meet the specific needs of the populations they serve. While Methadone Maintenance Treatment (MMT) is considered to be among the best strategies for reducing rates of opioid-involved overdose, its ability to attract and maintain patients may be hindered by a recent focus on policing the non-opioid substance use of people on the program. This paper uses interview data from treatment providers to examine how clinicians conceptualize and organize MMT in regards to patients' use of non-opioid drugs. Responses demonstrate that some treatment providers are increasingly monitoring their patients' use of non-opioid substances and punishing them for infractions, up to and including discharge from treatment. This approach will likely result in increasing rates of patient dropout and a lack of new admissions among people who use non-opioid substances. This article argues that including non-opioid substances in MMT's mandate restricts its ability to improve public health, including by preventing overdoses, and recommends instead that MMT adopt a more individualized approach, shaped by the needs and goals of the patient rather than those of the clinician.

"Like Yin and Yang": Perceptions of Methamphetamine Benefits and Consequences Among People Who Use Opioids in Rural Communities.

OBJECTIVES: The objective of this study was to investigate methamphetamine use among people who use opioids in rural Oregon communities to explore reasons for use and perceptions of methamphetamine consequences. METHODS: We conducted interviews and surveys with participants who inject drugs or misuse prescription opioids in 2 rural Oregon counties with high opioid overdose rates. Survey participants were identified through participant-driven sampling initiated in syringe service programs and field outreach (n = 144). Semi-structured interviews with participants were recruited from the same locations (n = 52). RESULTS: Of 144 surveys completed, 112 reported using opioids in the past 30 days; 96% of the 112 also report methamphetamine use. Among the 124 reporting injection drug use, 50% indicated they injected both methamphetamine and heroin in the past 30 days. Interview participants reported early exposure to methamphetamine and indicated that methamphetamine was more widely available, less expensive, and less stigmatized compared to heroin. Participants reported using methamphetamine to improve work-life functioning and because they enjoy the high produced from simultaneous use. Several participants reported a conscious effort to shift to methamphetamine from heroin as a harm reduction strategy.Some participants reported being involuntarily discharged from treatment for opioid use disorder due to methamphetamine use. Several participants perceived methamphetamine as conveying overdose prevention or reversal benefits, while fentanyl contamination in methamphetamine was reported or suspected. CONCLUSION: As rural communities respond to evolving drug supply and demand, there is increasing need for public health efforts to address the emerging issue of concurrent methamphetamine and opioid use.

Cannabis use is associated with reduced risk of exposure to fentanyl among people on opioid agonist therapy during a community-wide overdose crisis.

BACKGROUND: The ongoing opioid overdose crisis is driven largely by exposure to illicitly-manufactured fentanyl. Preliminary observational and experimental research suggests that cannabis could potentially play a role in reducing use of prescription opioids among individuals with chronic pain. However, there is limited data on the effects of cannabis on illicit opioid consumption, particularly fentanyl, especially among individuals on opioid agonist therapy (OAT). We sought to assess the longitudinal association between cannabis use and exposure to fentanyl among people on OAT. METHODS: Data were drawn from two community-recruited prospective cohorts of people who use drugs in Vancouver, Canada. We used generalized linear mixed-effects modeling, adjusted by relevant confounders, to investigate the relationship between cannabis use and recent fentanyl exposure (both assessed by urine drug testing) among participants on OAT between 2016 and 2018. RESULTS: Among the 819 participants on OAT who contributed 1989 observations over the study period, fentanyl exposure was common. At the baseline interview, fentanyl was detected in a majority of participants (431, 53 %), with lower prevalence among individuals with urine drug tests positive for tetrahydrocannabinol (47 vs. 56 %, p = 0.028). Over all study interviews, cannabis use was independently associated with reduced likelihood of being recently exposed to fentanyl (Adjusted Prevalence Ratio = 0.91, 95 % Confidence Interval: 0.83 - 0.99). CONCLUSIONS: Participants on OAT using cannabis had significantly lower risk of being exposed to fentanyl. Our findings reinforce the need for experimental trials to investigate the potential benefits and risks of controlled cannabinoid administration for people on OAT.

Opioid Prescribing and Opioid Risk Mitigation Strategies in the Veterans Health Administration.

INTRODUCTION: The Veterans Health Administration (VHA) has taken a multifaceted approach to addressing opioid safety and promoting system-wide opioid stewardship. AIM: To provide a comprehensive evaluation of current opioid prescribing practices and implementation of risk mitigation strategies in VHA. SETTING: VHA is the largest integrated health care system in the United States. PROGRAM DESCRIPTION: VHA prescribing data in conjunction with implementation of opioid risk mitigation strategies are routinely tracked and reviewed by VHA's Pharmacy Benefits Management Services (including Academic Detailing Service) and the Pain Management Program Office. Additional data are derived from the Partnered Evidence-Based Policy Resource Center (PEPReC) and from a 2019 survey of interdisciplinary pain management teams at VHA facilities. Prescribing data are reported quarterly until first quarter fiscal year 2020 (Q1FY2020), ending December 31, 2019. PROGRAM EVALUATION: VHA opioid dispensing peaked in 2012 with 679,376 Veterans receiving an opioid prescription, and when including tramadol, in 2013 with 869,956 Veterans. Since 2012, the number of Veterans dispensed an opioid decreased 56% and co-prescribed opioid/benzodiazepine decreased 83%. Veterans with high-dose opioids (≥ 100 mg morphine equivalent daily dose) decreased 77%. In Q1FY2020, among Veterans on long-term opioid therapy (LTOT), 91.1% had written informed consent, 90.8% had a urine drug screen, and 89.0% had a prescription drug monitoring program query. Naloxone was issued to 217,469 Veterans and resulted in > 1,000 documented overdose reversals. In 2019, interdisciplinary pain management teams were fully designated at 68%, partially designated at 28%, and not available at 4% of 140 VA parent facilities. Fifty percent of Veterans on opioids at very high risk for overdose/suicide received interdisciplinary team reviews. IMPLICATIONS: VHA clinicians have greatly reduced their volume of opioid prescribing for pain management and expanded implementation of opioid risk mitigation strategies. IMPACTS: VHA's integrated health care system provides a model for opioid stewardship and interdisciplinary pain care.

The role of substance use disorders in experiencing a repeat opioid overdose, and substance use treatment patterns among patients with a non-fatal opioid overdose.

BACKGROUND: A non-fatal opioid overdose (NFOO) increases the risk of another overdose and identifies high-risk patients. We estimated the risk of repeat opioid overdose for patients with and without substance use disorder (SUD) diagnoses and the change in substance use treatment utilization rates associated with the first NFOO. METHODS: We selected patients (>18 years of age) from Kaiser Permanente Northern California with a NFOO between 2009-2016 (n = 3,992). Cox proportional hazards models estimated the 1-year risk of opioid overdose associated with SUD diagnoses (opioid, alcohol, cannabis, amphetamine, sedative, and cocaine), controlling for patient characteristics. Among patients with an index NFOO, we calculated monthly utilization rates for outpatient substance use services and buprenorphine before and after the index overdose. Interrupted time series models estimated the change in level and trend in utilization rates associated with the index overdose. RESULTS: Approximately 7.2 % of patients had a repeat opioid overdose during the year after the index NFOO. The only SUD diagnosis significantly associated with greater risk of repeat overdose was opioid use disorder (OUD) (aHR: 1.51; 95 % CI: 1.13-2.01). Before the index overdose, 4.16 % of patients received outpatient substance use services and 1.32 % received buprenorphine. The index overdose was associated with a 5.94 % (standard error: 0.77 %) absolute increase in outpatient substance use services and a 1.29 % (standard error: 0.15 %) increase in buprenorphine. CONCLUSION: Patients with a NFOO and OUD are vulnerable to another overdose. Low initiation rates for substance use treatment after a NFOO indicate a need to address patient, provider, and system barriers.

Development of an algorithm to detect methotrexate wrong frequency error using computerized health care data.

PURPOSE: We validated an algorithm to detect frequency errors in computerized healthcare data and estimated the incidence of these errors in an integrated healthcare system. METHODS: We applied Sentinel System analytic tools on the electronic health records of Kaiser Permanente, Northern California, January 1, 2010, through May 30, 2015,to identify rheumatoid arthritis (RA) patients with new use of methotrexate (365-day baseline period). We identified potential methotrexate frequency errors using ICD-9 code 995.20 (adverse drug event), Current Procedural Terminology (CPT) code 96409 for injection of leucovorin and prescription refill patterns. We performed chart review to confirm the frequency errors, assessed performance for detecting frequency errors, and estimated the incidence of chart-confirmed errors. RESULTS: The study included 24,529 methotrexate dispensings among 3,668 RA patients. Among these, 722 (3%) had one dispensing and 23,807 (97.1%) had ≥2 dispensings during 1-year follow-up period. We flagged 653 (2.7%) with a potential medication error (46 with one dispensing and 607 with ≥2 dispensings). We sampled 94 for chart review, and confirmed three methotrexate errors. All three confirmed frequency errors involved a first methotrexate dispensing followed by injected rescue therapy, leucovorin, (positive predictive value, 60%; 95% confidence interval [CI], 15-95%). No potential errors were found among patients with ≥2 dispensings. We estimated the frequency error incidence among one methotrexate dispensing to be 0.4% (95%CI, 0.1% to 1.2%). CONCLUSION: Rescue therapy is a specific indicator of methotrexate overdose among first methotrexate dispensings. This method is generalizable to other medications with serious adverse events treated with antidotes.

Development of an algorithm to identify inpatient opioid-related overdoses and oversedation using electronic data.

PURPOSE: To facilitate surveillance and evaluate interventions addressing opioid-related overdoses, algorithms are needed for use in large health care databases to identify and differentiate community-occurring opioid-related overdoses from inpatient-occurring opioid-related overdose/oversedation. METHODS: Data were from Kaiser Permanente Northwest (KPNW), a large integrated health plan. We iteratively developed and evaluated an algorithm for electronically identifying inpatient overdose/oversedation in KPNW hospitals from 1 January 2008 to 31 December 2014. Chart audits assessed accuracy; data sources included administrative and clinical records. RESULTS: The best-performing algorithm used these rules: (1) Include events with opioids administered in an inpatient setting (including emergency department/urgent care) followed by naloxone administration within 275 hours of continuous inpatient stay; (2) exclude events with electroconvulsive therapy procedure codes; and (3) exclude events in which an opioid was administered prior to hospital discharge and followed by readmission with subsequent naloxone administration. Using this algorithm, we identified 870 suspect inpatient overdose/oversedation events and chart audited a random sample of 235. Of the random sample, 185 (78.7%) were deemed overdoses/oversedation, 37 (15.5%) were not, and 13 (5.5%) were possible cases. The number of hours between time of opioid and naloxone administration did not affect algorithm accuracy. When "possible" overdoses/oversedations were included with confirmed events, overall positive predictive value (PPV) was very good (PPV = 84.0%). Additionally, PPV was reasonable when evaluated specifically for hospital stays with emergency/urgent care admissions (PPV = 77.0%) and excellent for elective surgery admissions (PPV = 97.0%). CONCLUSIONS: Algorithm performance was reasonable for identifying inpatient overdose/oversedation with best performance among elective surgery patients.

Identifying and classifying opioid-related overdoses: A validation study.

PURPOSE: The study aims to develop and validate algorithms to identify and classify opioid overdoses using claims and other coded data, and clinical text extracted from electronic health records using natural language processing (NLP). METHODS: Primary data were derived from Kaiser Permanente Northwest (2008-2014), an integrated health care system (~n > 475 000 unique individuals per year). Data included International Classification of Diseases, Ninth Revision (ICD-9) codes for nonfatal diagnoses, International Classification of Diseases, Tenth Revision (ICD-10) codes for fatal events, clinical notes, and prescription medication records. We assessed sensitivity, specificity, positive predictive value, and negative predictive value for algorithms relative to medical chart review and conducted assessments of algorithm portability in Kaiser Permanente Washington, Tennessee State Medicaid, and Optum. RESULTS: Code-based algorithm performance was excellent for opioid-related overdoses (sensitivity = 97.2%, specificity = 84.6%) and classification of heroin-involved overdoses (sensitivity = 91.8%, specificity = 99.0%). Performance was acceptable for code-based suicide/suicide attempt classifications (sensitivity = 70.7%, specificity = 90.5%); sensitivity improved with NLP (sensitivity = 78.7%, specificity = 91.0%). Performance was acceptable for the code-based substance abuse-involved classification (sensitivity = 75.3%, specificity = 79.5%); sensitivity improved with the NLP-enhanced algorithm (sensitivity = 80.5%, specificity = 76.3%). The opioid-related overdose algorithm performed well across portability assessment sites, with sensitivity greater than 96% and specificity greater than 84%. Cross-site sensitivity for heroin-involved overdose was greater than 87%, specificity greater than or equal to 99%. CONCLUSIONS: Code-based algorithms developed to detect opioid-related overdoses and classify them according to heroin involvement perform well. Algorithms for classifying suicides/attempts and abuse-related opioid overdoses perform adequately for use for research, particularly given the complexity of classifying such overdoses. The NLP-enhanced algorithms for suicides/suicide attempts and abuse-related overdoses perform significantly better than code-based algorithms and are appropriate for use in settings that have data and capacity to use NLP.

Prescribing of Opioids and Benzodiazepines Among Patients With History of Overdose.

OBJECTIVES: Addiction and overdose related to prescription drugs continues to be a leading cause of morbidity and mortality in the United States. We aimed to characterize the prescribing of opioids and benzodiazepines to patients who had previously presented with an opioid or benzodiazepine overdose. METHODS: This was a retrospective chart review of patients who were prescribed an opioid or benzodiazepine in a 1-month time-period in 2015 (May) and had a previous presentation for opioid or benzodiazepine overdose at a large healthcare system. RESULTS: We identified 60,129 prescribing encounters for opioids and/or benzodiazepines, 543 of which involved a patient with a previous opioid or benzodiazepine overdose. There were 404 unique patients in this cohort, with 97 having more than 1 visit including a prescription opioid and/or benzodiazepine. A majority of prescriptions (54.1%) were to patients with an overdose within the 2 years of the documented prescribing encounter. Prescribing in the outpatient clinical setting represented half (49.9%) of encounters, whereas emergency department prescribing was responsible for nearly a third (31.5%). CONCLUSIONS: In conclusion, prescribing of opioids and benzodiazepines occurs across multiple locations in a large health care system to patients with a previous overdose. Risk factors, such as previous overdose should be highlighted through clinical decision support tools in the medical record to help prescribers identify patients at higher risk and to mobilize resources for this patient population. Prescribers need further education on factors that place their patients at risk for opioid use disorder and on alternative therapies to opioids and benzodiazepines.

Factors associated with sedative use and misuse among heroin users.

BACKGROUND: Rates of both opioid and sedative use and misuse are rising. Comorbid opioid and sedative use is associated with especially severe consequences (e.g., overdose and poor health outcomes). Heroin users report multiple motivations for sedative use, including self-medication. We aimed to understand differences in lifetime substance use characteristics between heroin users with different sedative use histories. METHODS: Substance use data were collected from 385 non-treatment seeking heroin users. Subjects were divided into four lifetime sedative-use groups: no use, medical use only, non-medical use only, and mixed medical and non-medical use. We examined patterns of use of various substances of abuse (tobacco, alcohol, marijuana, cocaine, heroin, and sedatives) and individual characteristics associated with each. RESULTS: Non-medical sedative use (alone or in addition to medical use) was associated with more negative consequences from using all substances. Medical sedative use alone was not related to increased overdose or emergency room visits associated with heroin use. Non-medical sedative use was associated with increases in 15 of the 21 measured heroin consequences and only one of those - health problems - was also associated with medical sedative use. CONCLUSIONS: Concomitant non-medical sedative use and heroin use is associated with significantly greater negative outcomes than those experienced by heroin users who report use of sedatives only as prescribed. Understanding these differences offers insight into risks related to using both substances and may help treatment providers create targeted harm reduction interventions for this population.

Prediction Model for Two-Year Risk of Opioid Overdose Among Patients Prescribed Chronic Opioid Therapy.

BACKGROUND: Naloxone is a life-saving opioid antagonist. Chronic pain guidelines recommend that physicians co-prescribe naloxone to patients at high risk for opioid overdose. However, clinical tools to efficiently identify patients who could benefit from naloxone are lacking. OBJECTIVE: To develop and validate an overdose predictive model which could be used in primary care settings to assess the need for naloxone. DESIGN: Retrospective cohort. SETTING: Derivation site was an integrated health system in Colorado; validation site was a safety-net health system in Colorado. PARTICIPANTS: We developed a predictive model in a cohort of 42,828 patients taking chronic opioid therapy and externally validated the model in 10,708 patients. MAIN MEASURES: Potential predictors and outcomes (nonfatal pharmaceutical and heroin overdoses) were extracted from electronic health records. Fatal overdose outcomes were identified from state vital records. To match the approximate shelf-life of naloxone, we used Cox proportional hazards regression to model the 2-year risk of overdose. Calibration and discrimination were assessed. KEY RESULTS: A five-variable predictive model showed good calibration and discrimination (bootstrap-corrected c-statistic = 0.73, 95% confidence interval [CI] 0.69-0.78) in the derivation site, with sensitivity of 66.1% and specificity of 66.6%. In the validation site, the model showed good discrimination (c-statistic = 0.75, 95% CI 0.70-0.80) and less than ideal calibration, with sensitivity and specificity of 82.2% and 49.5%, respectively. CONCLUSIONS: Among patients on chronic opioid therapy, the predictive model identified 66-82% of all subsequent opioid overdoses. This model is an efficient screening tool to identify patients who could benefit from naloxone to prevent overdose deaths. Population differences across the two sites limited calibration in the validation site.

The DARK Side of Total Synthesis: Strategies and Tactics in Psychoactive Drug Production.

Humankind has used and abused psychoactive drugs for millennia. Formally, a psychoactive drug is any agent that alters cognition and mood. The term "psychotropic drug" is neutral and describes the entire class of substrates, licit and illicit, of interest to governmental drug policy. While these drugs are prescribed for issues ranging from pain management to anxiety, they are also used recreationally. In fact, the current opioid epidemic is the deadliest drug crisis in American history. While the topic is highly politicized with racial, gender, and socioeconomic elements, there is no denying the toll drug mis- and overuse is taking on this country. Overdose, fueled by opioids, is the leading cause of death for Americans under 50 years of age, killing ca. 64,000 people in 2016. From a chemistry standpoint, the question is in what ways, if any, did organic chemists contribute to this problem? In this targeted review, we provide brief historical accounts of the main classes of psychoactive drugs and discuss several foundational total syntheses that ultimately provide the groundwork for producing these molecules in academic, industrial, and clandestine settings.

The use of cannabis in response to the opioid crisis: A review of the literature.

BACKGROUND: A staggering number of Americans are dying from overdoses attributed to prescription opioid medications (POMs). In response, states are creating policies related to POM harm reduction strategies, overdose prevention, and alternative therapies for pain management, such as cannabis (medical marijuana). However, little is known about how the use of cannabis for pain management may be associated with POM use. PURPOSE: The purpose of this article is to examine state medical cannabis (MC) use laws and policies and their potential association with POM use and related harms. METHODS: A systematic literature review was conducted to explore United States policies related to MC use and the association with POM use and related harms. Medline, PubMed, CINAHL, and Cochrane databases were searched to identify peer-reviewed articles published between 2010 and 2017. Using the search criteria, 11,513 records were identified, with 789 abstracts reviewed, and then 134 full-text articles screened for eligibility. FINDINGS: Of 134 articles, 10 articles met inclusion criteria. Four articles were cross-sectional online survey studies of MC substitution for POM, six were secondary data analyses exploring state-level POM overdose fatalities, hospitalizations related to MC or POM harms, opioid use disorder admissions, motor vehicle fatalities, and Medicare and Medicaid prescription cost analyses. The literature suggests MC laws could be associated with decreased POM use, fewer POM-related hospitalizations, lower rates of opioid overdose, and reduced national health care expenditures related to POM overdose and misuse. However, available literature on the topic is sparse and has notable limitations. CONCLUSIONS: Review of the current literature suggests states that implement MC policies could reduce POM-associated mortality, improve pain management, and significantly reduce health care costs. However, MC research is constrained by federal policy restrictions, and more research related to MC as a potential alternative to POM for pain management, MC harms, and its impact on POM-related harms and health care costs should be a priority of public health, medical, and nursing research.