Years of life lost due to deaths of despair and COVID-19 in the United States in 2020: patterns of excess mortality by gender, race and ethnicity.

BACKGROUND: In 2020 COVID-19 was the third leading cause of death in the United States. Increases in suicides, overdoses, and alcohol related deaths were seen-which make up deaths of despair. How deaths of despair compare to COVID-19 across racial, ethnic, and gender subpopulations is relatively unknown. Preliminary studies showed inequalities in COVID-19 mortality for Black and Hispanic Americans in the pandemic's onset. This study analyzes the racial, ethnic and gender disparities in years of life lost due to COVID-19 and deaths of despair (suicide, overdose, and alcohol deaths) in 2020. METHODS: This cross-sectional study calculated and compared years of life lost (YLL) due to Deaths of Despair and COVID-19 by gender, race, and ethnicity. YLL was calculated using the CDC WONDER database to pull death records based on ICD-10 codes and the Social Security Administration Period Life Table was used to get estimated life expectancy for each subpopulation. RESULTS: In 2020, COVID-19 caused 350,831 deaths and 4,405,699 YLL. By contrast, deaths of despair contributed to 178,598 deaths and 6,045,819 YLL. Men had more deaths and YLL than women due to COVID-19 and deaths of despair. Among White Americans and more than one race identification both had greater burden of deaths of despair YLL than COVID-19 YLL. However, for all other racial categories (Native American/Alaskan Native, Asian, Black/African American, Native Hawaiian/Pacific Islander) COVID-19 caused more YLL than deaths of despair. Also, Hispanic or Latino persons had disproportionately higher mortality across all causes: COVID-19 and all deaths of despair causes. CONCLUSIONS: This study found greater deaths of despair mortality burden and differences in burden across gender, race, and ethnicity in 2020. The results indicate the need to bolster behavioral health research, support mental health workforce development and education, increase access to evidence-based substance use treatment, and address systemic inequities and social determinants of deaths of despair and COVID-19.

Primary care and medication management characteristics among patients receiving office-based opioid treatment with buprenorphine.

BACKGROUND: Office-based opioid treatment (OBOT) is an evidence-based treatment model for opioid use disorder (OUD) offered by both addiction and general primary care providers (PCPs). Calls exist for more PCPs to offer OBOT. Few studies have been conducted on the primary care characteristics of OBOT patients. OBJECTIVE: To characterize medical conditions, medications, and treatment outcomes among patients receiving OBOT with buprenorphine for OUD, and to describe differences among patients by age and by time in care. METHODS: This study is a retrospective review of medical records on or before 4/29/2019 at an outpatient primary care clinic within a nonprofit addiction treatment setting. Inclusion criterion was all clinic patients actively enrolled in the OBOT program. Patients not prescribed buprenorphine or with no OBOT visits were excluded. RESULTS: Of 355 patients, 42.0% had another PCP. Common comorbid conditions included chronic pain and psychiatric diagnosis. Few patients had chronic viral hepatitis or HIV. Patients reported a median of 4 medications. Common medications were cardiovascular, antidepressant, and nonopioid pain agents. Older patients had a higher median number of medications. There was no significant difference in positive opioid urine toxicology (UT) based on age, chronic pain status, or psychoactive medications. Patients retained >1 year were less likely to have positive opioid UT. CONCLUSION: Clinical needs of many patients receiving OBOT are similar to those of the general population, supporting calls for PCPs to provide OBOT.

Recognizing and Caring for the Intoxicated Patient in an Outpatient Clinic.

Recognizing an intoxication syndrome in patients presenting to an outpatient clinical practice with behavior or mental status change requires initial consideration of a broad differential diagnosis. After a thorough evaluation, management may include treatment of the presenting concern, triage to a higher level of care, and management substance withdrawal. Providers should be aware of the medico-legal aspects of caring for intoxicated patients related to privacy, informed consent, and risk of harm to self and others upon leaving clinic. An essential aspect of care for patients presenting to clinic intoxicated is the follow up assessment and management of substance use disorders.

A Cross-Sectional Online Survey of HIV Pre-Exposure Prophylaxis Adoption Among Primary Care Physicians.

BACKGROUND: Among health care providers, prescription of HIV pre-exposure prophylaxis (PrEP) has been low. Little is known specifically about primary care physicians (PCPs) with regard to PrEP awareness and adoption (i.e., prescription or referral), and factors associated with adoption. OBJECTIVE: To assess PrEP awareness, PrEP adoption, and factors associated with adoption among PCPs. DESIGN: Cross-sectional online survey conducted in April and May 2015. RESPONDENTS: Members of a national professional organization for academic primary care physicians (n = 266). MAIN MEASURES: PrEP awareness, PrEP adoption (ever prescribed or referred a patient for PrEP [yes/no]), provider and practice characteristics, and self-rated knowledge, attitudes, and beliefs associated with adoption. KEY RESULTS: The survey response rate was 8.6 % (266/2093). Ninety-three percent of respondents reported prior awareness of PrEP. Of these, 34.9 % reported PrEP adoption. In multivariable analysis of provider and practice characteristics, compared with non-adopters, adopters were more likely to provide care to more than 50 HIV-positive patients (vs. 0, aOR = 6.82, 95 % CI 2.06-22.52). Compared with non-adopters, adopters were also more likely to report excellent, very good, or good self-rated PrEP knowledge (15.1 %, 33.7 %, 30.2 % vs. 2.5 %, 18.1 %, 23.8 %, respectively; p < 0.001) and to perceive PrEP as extremely safe (35.1 % vs. 10.7 %; p = 0.002). Compared with non-adopters, adopters were less likely to perceive PrEP as being moderately likely to increase risk behaviors ("risk compensation") (12.8 % vs. 28.8 %, p = 0.02). CONCLUSIONS: While most respondents were aware of PrEP, only one-third of PrEP-aware PCPs reported adoption. Adopters were more likely to have experience providing HIV care and to perceive PrEP as extremely safe, and were less likely to perceive PrEP use as leading to risk compensation. To enhance PCP adoption of PrEP, educational efforts targeting PCPs without HIV care experience should be considered, as well as training those with HIV care experience to be PrEP "clinical champions". Concerns about safety and risk compensation must also be addressed.

Primary Care Physicians' Willingness to Prescribe HIV Pre-exposure Prophylaxis for People who Inject Drugs.

Pre-exposure prophylaxis for HIV (PrEP) is recommended for people who inject drugs (PWID). Despite their central role in disease prevention, willingness to prescribe PrEP to PWID among primary care physicians (PCPs) is largely understudied. We conducted an online survey (April-May 2015) of members of a society for academic general internists regarding PrEP. Among 250 respondents, 74% (n = 185) of PCPs reported high willingness to prescribe PrEP to PWID. PCPs were more likely to report high willingness to prescribe PrEP to all other HIV risk groups (p's < 0.03 for all pair comparisons). Compared with PCPs delivering care to more HIV-infected clinic patients, PCPs delivering care to fewer HIV-infected patients were more likely to report low willingness to prescribe PrEP to PWID (Odds Ratio [95% CI] = 6.38 [1.48-27.47]). PCP and practice characteristics were not otherwise associated with low willingness to prescribe PrEP to PWID. Interventions to improve PCPs' willingness to prescribe PrEP to PWID are needed.

Non-Medical Prescription Opioid Use and Prescription Opioid Use Disorder: A Review.

Over the past few decades, there has been a rise in the non-medical use of prescription opioids, which has now reached epidemic proportions in the United States. In some cases, this non-medical use progresses to prescription opioid use disorder, heroin use, injection, and inhalation drug use, all of which may have further devastating consequences. The purpose of this review article is to discuss the epidemiology of the non-medical use of prescription opioids; discuss the potential progression to subsequent prescription opioid use disorder; review the state and national efforts in development to address addiction and diversion in the United States; discuss treatment options; and, lastly, to evaluate the impact of the related stigma to the development of opioid use disorder. Many unanswered questions remain, and we will explore future possibilities in how the medical community can play a role in curbing this epidemic.

Racial/ethnic differences in report of drug testing practices at the workplace level in the U.S.

BACKGROUND AND OBJECTIVES: It is unknown whether racial/ethnic differences in report of workplace drug testing persist when analyzed within and across various occupations. We sought to examine the association between worker demographics, workplace characteristics, and report of employment in a workplace that performs drug testing. METHODS: We performed a cross-sectional study of the 2008-2010 National Survey on Drug Use and Health examining the relationship between race/ethnicity and report of workplace drug testing among employed, white, black, or Hispanic respondents ≥18 years old. In logistic regression analysis, we adjusted for demographic, occupational, and other relevant variables and performed stratified analyses among three specific occupations. RESULTS: Among 69,163 respondents, 48.2% reported employment in a workplace that performs drug testing. On multivariable analysis, younger age, male sex, black race, income greater than $20,000, completion of high school and non-urban residence were associated with report of drug testing at one's workplace among the full sample as were non-white collar occupation, work in medium or large workplace, and absence of other substance abuse/dependence. In stratified analyses, black race was associated with report of workplace level drug testing among executive/administrative/managerial/financial workers and technicians/related support occupations; Hispanic ethnicity was associated with the outcome among technicians/related support occupations. CONCLUSIONS: Racial/ethnic differences in report of workplace drug testing exist within and across various occupations. These differences have important public health implications deserving further study. SCIENTIFIC SIGNIFICANCE: Increased report of drug testing where racial/ethnic minorities work highlights the potential bias that can be introduced when drug testing policies are not implemented in a universal fashion.

Non-medical use, abuse and dependence on prescription opioids among U.S. adults: psychiatric, medical and substance use correlates.

BACKGROUND: Non-medical use of prescription opioids carries risks including development of abuse/dependence. Such use may correlate with psychiatric, medical, and substance use characteristics. METHODS: Cross-sectional survey, the 2002-2004 National Survey on Drug Use and Health. Respondents 18 years and older (n=91,823). Bivariate and multivariable associations were investigated. RESULTS: The prevalence of past-year non-medical use of prescription opioids was 4.5%. Of those with non-medical use, 12.9% met criteria for abuse/dependence. On multivariable analysis, past-year non-medical use was associated with panic (AOR 1.2; 95% CI 1.04-1.5), depressive (AOR 1.2; 95% CI 1.01-1.5) and social phobic/agoraphobic symptoms (AOR 1.2; 95% CI 1.1-1.4). Among those with past-year non-medical prescription opioid use, those with abuse/dependence were more likely to have panic (AOR 1.7; 95% CI 1.2-2.4) and social phobic/agoraphobic symptoms (AOR 1.7; 95% CI 1.2-2.4). In addition, they were more likely to report fair/poor health (AOR 2.1; 95% CI 1.4-3.0), have misused another class of prescription medication (AOR 1.7; 95% CI 1.2-2.3), have used heroin (AOR 2.9; 95% CI 1.2-6.9) and initiated substance use before the age of 13 (AOR 4.7; 95% CI 1.1-19.9). CONCLUSIONS: Non-medical use of prescription opioids is common. Furthermore, nearly 13% of those with non-medical use meet criteria for abuse/dependence. Panic, social phobia and agoraphobia, low self-rated health status, and other substance misuse among those with non-medical use of prescription opioids should alert clinicians to screen for abuse and dependence.