Notes

Content research desires a medical intuitive.
Several points of access for contraceptive care were elucidated, including visits for primary and postpartum care, as well as in carceral spaces. Finally, participants expressed a desire to obtain contraceptive services at a local syringe exchange program due to trusting relationships with providers and increased ease of access.

Our findings highlight several causative factors for the unmet contraceptive need among women who use injection drugs, and suggest that syringe exchange programs represent a unique access point for the provision of contraceptive care for this population.
Our findings highlight several causative factors for the unmet contraceptive need among women who use injection drugs, and suggest that syringe exchange programs represent a unique access point for the provision of contraceptive care for this population.
COVID-19 and associated social distancing has presented challenges for individuals engaging in face-to-face mutual help groups (MHGs) such as Alcoholics Anonymous for alcohol use recovery. Online MHGs may be particularly appealing to individuals with limited access or inclination to attend in-person MHGs. We examined engagement within the popular "StopDrinking" online MHG, hypothesizing that engagement would increase due to demand for virtual peer support as COVID-19 social distancing progressed.

We collected publicly available engagement data for StopDrinking from February 19, 2018 through April 30, 2020 while considering March and April of 2020 as months initially impacted by voluntary or mandated COVID-19 social distancing. Using seasonal autoregressive integrated moving average models, we predicted daily engagement for this social distancing time period based on all available engagement data collected before April 2020. Kalman filtering with 95% prediction limits was employed to define significant thrpulation health trends and to understand how such groups might support alcohol use recovery in contexts of crisis and isolation. COVID-19 pandemic has resulted in devastating mortality and morbidity consisting of socioeconomic and health effects that have included respiratory/pulmonary, cardiovascular, mental health and neurological consequences such as anxiety, depression, and substance use. Extensive efforts are underway to develop preventive vaccines and therapeutics such as remdesivir, dexamethasone, convalescent plasma, and others to treat COVID-19 but many report residual mental health problems after recovery. Cannabis products such as cannabidiol (CBD) are being advertised for the treatment of COVID-19 associated mental health problems and substance use disorders. This commentary will briefly clear the myth that CBD can ameliorate a wide range of COVID-19 associated health effects including anxiety, depression, or any substance use disorder, and show that there is a clear lack of sufficient unbiased clinical evidence from well-designed double-blind, placebo-controlled clinical trials to prove the antianxiety or antidepression therapeutic properties of CBD and support its wide use as medicine to treat COVID-19- associated mental health conditions or substance use disorders. Finally, we suggest that addiction physicians must play an important role in dealing with their patients requesting CBD prescription for treating any of these conditions.
Inpatient alcohol withdrawal syndrome (AWS) is common and early treatment improves outcomes, but no prior study has used electronic health record (EHR) data, available at admission, to predict the probability of inpatient AWS. This study estimated the probability of inpatient AWS using prior-year EHR data, hypothesizing that documented alcohol use disorder (AUD) and AWS would be strongly associated with inpatient AWS while exploring associations with other patient characteristics.

The study investigated patients hospitalized ≥24 hours on medical services in the Veterans Health Administration during 2013 using EHR data extracted from the Veterans Health Administration Corporate Data Warehouse. ICD-9-CM diagnosis code, demographic, and healthcare utilization data documented in the year before admission defined prior-year AUD, AWS, and other factors associated with inpatient AWS. The primary outcome, inpatient AWS, was defined by inpatient ICD-9-CM codes.

The unadjusted probability of AWS was 5.0% (95% CI 4.5%-5.4%) among 209,151 medical inpatients overall, 26.4% (95% CI 24.4%-28.4%) among those with prior-year AUD, and 62.5% (95% CI 35.2%-39.7%) among those with prior-year AWS. Everolimus clinical trial Of those with AWS, 86% had documented prior-year AUD and/or AWS. Other patient characteristics associated with increased probability of inpatient AWS (P < 0.001) were male sex, single relationship status, homelessness, seizure, and cirrhosis.

Although inpatient providers often use history to predict AWS, this is the first study in hospitalized patients to inform and validate this practice, showing that prior-year diagnosis of AUD and/or AWS in particular, can identify the majority of inpatients who should be monitored for AWS.
Although inpatient providers often use history to predict AWS, this is the first study in hospitalized patients to inform and validate this practice, showing that prior-year diagnosis of AUD and/or AWS in particular, can identify the majority of inpatients who should be monitored for AWS.
Persons who are homeless have significant health challenges and barriers accessing care. Secure messaging supports communication between patients and their providers through a web-based portal, but the acceptability of this technology among patients with high prevalence of substance use disorders (SUDs) is unknown. We examined secure messaging use among veterans with experiences of homelessness (VEHs), and determined factors associated with messaging use.

We conducted a cross-sectional analysis of responses to a national survey of VEHs, administered by mail from March to October 2018 (response rate = 40.2%). One item assessed secure messaging use and satisfaction. We used multivariable logistic regressions to model secure messaging use, controlling for sociodemographics, medical conditions, housing indicators, and mental health and SUD diagnoses.

Of 5072 VEHs, 21% had ever used secure messaging and 87% of the subsample found messaging to be useful. Secure messaging was more commonly used by VEHs who were female, had some college education, those with ≥3 chronic medical conditions, depression, or posttraumatic stress disorder (all P < 0.
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