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BACKGROUND AND OBJECTIVES: Kratom (Mitragyna speciosa) use is associated with polysubstance use (PSU) and use disorders. However, additional research on PSU heterogeneity in populations using this novel psychoactive substance is necessary. The authors investigated patterns of past 12-month PSU among US adults reporting past 12-month use of kratom and at least one additional substance. METHODS: Latent class models were fit using 2019 National Survey on Drug Use and Health (NSDUH) data which was collected from 412 US adults reporting past 12-month use of kratom and at least one of 11 additional substances. RESULTS: Three distinct profiles were identified: "marijuana/alcohol/tobacco" (63.3%), "marijuana/alcohol/tobacco + psychedelics" (19.3%), and "marijuana/alcohol/tobacco + psychedelics/heroin/prescriptions" (17.4%). CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: This is the first epidemiological study in which a latent class analysis was used to identify unique PSU profiles among US adults using kratom and other substances. Understanding the profiles of people using kratom in relation to the use of other drugs might help guide screening interventions, treatment needs, and policy.
Subject(s)
Hallucinogens , Mitragyna , Substance-Related Disorders , Humans , Adult , Latent Class Analysis , Substance-Related Disorders/epidemiology , HeroinABSTRACT
Background: In the United States, the number of older adults reporting non-medical use of prescription pain relievers (NMUPPR) between 2015 and 2019 has remained constant, while those meeting criteria for opioid use disorders (OUDs) between 2013 and 2018 increased three-fold. These rates are expected to increase due to increased life expectancy among this population coupled with higher rates of substance use. However, they have consistently lower screening rates for problematic prescription pain reliever use, compared to younger cohorts. Objectives: This commentary reviewed trends in older adult NMUPPR and OUDs and reviewed several available screening tools. We then considered reasons why providers may not be screening their patients, with a focus on older adults, for NMUPPR and OUDs. Finally, we provided recommendations to increase screenings in healthcare settings. Results: Low screening rates in older adult patients may be due to several contributing factors, such as providers' implicit biases and lack of training, time constraints, and comorbid conditions that mask NMUPPR and OUD-related symptoms. Recommendations include incorporating more addiction-related curricula in medical schools, encouraging participation in CME training focused on substance use, attending implicit bias training, and breaking down the silos between pharmacy and geriatric, addiction, and family medicine. Conclusions: There is a growing need for older adult drug screenings, and we have provided several recommendations for improvement. By increasing screenings among older populations, providers will assist in the identification and referral of patients to appropriate and timely substance use treatment and resources to ultimately ameliorate the health of older adult patients.
Subject(s)
Opioid-Related Disorders , Humans , United States/epidemiology , Aged , Opioid-Related Disorders/epidemiology , Opioid-Related Disorders/drug therapy , Analgesics/therapeutic use , Acetaminophen/therapeutic use , Prescriptions , Pain/drug therapy , Analgesics, Opioid/therapeutic useABSTRACT
Data on the duration of detectable Zika virus-specific IgM in infected persons are limited. Neutralizing antibody cross-reactivity occurs between Zika virus and related flaviviruses, but the degree to which this confounds diagnosis is uncertain. We tested serum specimens collected 12-19 months after illness onset from patients with confirmed Zika virus disease for Zika virus IgM and Zika virus and dengue virus neutralizing antibodies. Among 62 participants, 45 (73%) had detectable Zika virus IgM and 12 (19%) had an equivocal result. Although all patients tested had Zika virus neutralizing antibodies, 39 (63%) also had neutralizing antibodies against dengue virus; of those, 12 (19%) had <4-fold difference between Zika virus and dengue virus titers, and 5 (8%) had dengue virus titer >4-fold higher than Zika virus titer. Prolonged detection of IgM and neutralizing antibody cross-reactivity make it difficult to determine the timing of Zika virus infection and differentiate between related flaviviruses.
Subject(s)
Antibodies, Neutralizing/immunology , Antibodies, Viral/immunology , Immunoglobulin M/immunology , Zika Virus Infection/immunology , Zika Virus Infection/virology , Zika Virus/immunology , Adolescent , Adult , Aged , Antibodies, Neutralizing/blood , Antibodies, Viral/blood , Child , Cross Reactions/immunology , Female , Humans , Immunoglobulin M/blood , Male , Middle Aged , Pregnancy , Time Factors , Young Adult , Zika Virus/geneticsABSTRACT
We assessed IgM detection in Zika patients from the 2016 outbreak in Miami-Dade County, Florida, USA. Of those with positive or equivocal IgM after 12-19 months, 87% (26/30) had IgM 6 months later. In a survival analysis, ≈76% had IgM at 25 months. Zika virus IgM persists for years, complicating serologic diagnosis.
Subject(s)
Antibodies, Viral/immunology , Immunoglobulin M/immunology , Zika Virus Infection/epidemiology , Zika Virus Infection/immunology , Zika Virus/immunology , Adult , Aged , Antibodies, Viral/blood , Disease Outbreaks , Female , Florida/epidemiology , Humans , Immunoglobulin M/blood , Male , Middle Aged , Time Factors , Young Adult , Zika Virus/genetics , Zika Virus Infection/diagnosis , Zika Virus Infection/virologyABSTRACT
OBJECTIVES: The aim of this study was to identify sociodemographic and substance-related factors associated with being screened, receiving advice or treatment information from healthcare providers, among individuals who met the criteria for the past 12-month alcohol use disorder (AUD). METHODS: The 2015-2019 National Survey on Drug Use and Health data were analyzed to identify factors associated with being (1) asked about alcohol used among adults with AUD, who visited a healthcare provider within the past 12 months, and were not receiving AUD treatment (sample 1, n = 13,321); (2) asked about problematic use; (3) advised to reduce consumption; and (4) offered alcohol treatment information, among those in sample 1 who were asked about their use (n = 6,905). RESULTS: About half (52.9%) in sample 1 were asked about their alcohol use. Among them, 21.6% were asked about problematic use, 17.7% were advised to reduce alcohol consumption, and 7.6% were offered information. The odds of being asked about alcohol use among male participants were 0.72 times the odds of female participants; however once asked, male participants showed greater odds of being asked about problematic use (adjusted odds ratio [aOR] = 1.53, 95% confidence interval [CI] = 1.29-1.82), advised to reduce consumption (aOR = 1.64, 95% CI = 1.24-2.16), and offered treatment information (aOR = 1.77, 95% CI = 1.34-2.35). As compared with non-Hispanic White participants, other racial/ethnic groups were less likely to be asked about alcohol use; however, once asked, no differences were observed for other outcomes. CONCLUSIONS: Significant gaps in the screening and provision of advice or treatment information were identified, particularly for racial/ethnic and sex subgroups. Reducing barriers for effective screening could help address AUD-related disparities.
Subject(s)
Alcoholism , Humans , Male , Female , Adult , Middle Aged , Alcoholism/epidemiology , Alcoholism/therapy , Young Adult , Adolescent , United States , Mass Screening , Aged , Alcohol Drinking/epidemiology , Health SurveysABSTRACT
OBJECTIVES: Age-related psychometric differences in Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) opioid use disorder (OUD) diagnostic criteria have been hypothesized, but not been tested. This study investigated DSM-5 OUD diagnostic criteria for age-related measurement noninvariance among younger adults (YAs) and middle/older adults (MOAs) with past 12-month nonmedical use of prescription opioids. METHODS: People who participated in the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions III and reported past 12-month nonmedical use of prescription opioids were included. YAs were 18-49 years old, and MOAs were 50+ years old. Item response theory, differential item functioning (DIF), and differential test functioning were used to assess for age-related measurement noninvariance. RESULTS: One in 5 people met the DSM-5 OUD diagnostic criteria for OUD within the past 12 months, with the most endorsed criteria being tolerance (17.96%). DIF was identified for 3 criteria, including (1) taking opioids for longer or in larger doses than intended, (2) long periods spent obtaining/using/recovering from use, and (3) withdrawal. DIF was associated with the latent OUD severity needed to correctly endorse the criteria, with criteria being correctly endorsed at less severe levels of latent OUD for MOAs when compared with YAs. Differential test functioning analyses showed collectively the criteria had improved detection in MOAs when compared with YAs (P < 0.01). CONCLUSIONS: These findings suggest that there may be age-related variations in the DSM-5 OUD diagnostic criteria's ability to detect latent OUD. Future research should identify contributing factors and the influence it has on the accuracy of age-specific surveillance estimations.
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OBJECTIVES: This study aims to investigate racial-ethnic differences in reasons for misuse of prescription medications among a nationally representative sample of US adults. METHODS: We analyzed data from the 2015-2019 National Surveys on Drug Use and Health. The study population includes US adults (18-49 years old) who reported misuse of 3 types of prescription drugs (stimulants [n = 6139], sedatives and tranquilizers [n = 5643], and pain relievers [n = 8780]) for 3 reasons: medical-only (eg, to help with pain), recreational-only (eg, to get high), or combined medical and recreational reasons. Multinomial logistic regressions assessed the association between reasons of misuse of prescription medications and self-identified race-ethnicity. RESULTS: Misuse of the 4 types of prescription medications was primarily motivated by medical reasons (63%-80%). Compared to non-Hispanic Whites, non-Hispanic Blacks (nHB), and Hispanics (H) were less likely to report misuse of pain relievers for combined (nHB: adjusted relative risk ratio [aRRR] = 0.6, 95% confidence interval [CI]: 0.4, 0.7; H; aRRR = 0.7, 95% CI: 0.5, 0.9) or recreational reasons (nHB: aRRR = 0.8, 95% CI: 0.6, 1.0; H; aRRR = 0.7, 95% CI: 0.6, 0.9) rather than medical-only reasons. The odds of misuse of sedatives and tranquilizers for recreational-only reasons as opposed to medical-only reasons were higher among nHB (aRRR = 1.9, 95% CI: 1.3, 2.7) and H (aRRR = 1.9, 95% CI: 1.4, 2.4) than among non-Hispanic Whites. CONCLUSIONS: The increased misuse of prescription pain relievers for medical reasons among racial-ethnic minority groups demonstrates a continued need to investigate underlying structural factors driving these behaviors. The higher odds of sedative and tranquilizer misuse for recreational purposes among racial-ethnic minority groups warrant further investigation.
Subject(s)
Prescription Drug Misuse , Prescription Drugs , Tranquilizing Agents , Adolescent , Adult , Ethnicity , Humans , Hypnotics and Sedatives , Middle Aged , Minority Groups , Pain/drug therapy , Prescriptions , United States/epidemiology , Young AdultABSTRACT
BACKGROUND: This paper examines the epidemiology of extra-medical use of prescription medications for sleep among a nationally representative sample of U.S. adults. METHODS: We analyzed data from the 2015-2018 National Surveys on Drug Use and Health. The sample includes 3410 U.S. adults who reported extra-medical use of prescription medications for sleep. Multinomial logistic regression models identified correlates of type of drug used [i.e., sedatives and/or tranquilizers-only (ST-only), prescription pain relievers-only (PPR-only), or sedatives, tranquilizers, and prescription pain relievers (ST + PPR)], and logistic regression models identified correlates of reasons for extra-medical use (i.e., sleep-only vs. sleep and recreational). RESULTS: About 60% (95%CI = 58.9, 63.5) of the sample reported extra-medical use of ST-only, followed by PPR-only (29.9%, 95%CI = 27.5, 32.5), and ST + PPR (8.9%, 95%CI = 7.7, 10.4). Recreational use was reported by 28.4% (95% CI = 26.5, 30.4) of the sample. The odds of extra-medical use of PPR-only (aRRR = 3.1, 95%CI = 2.1, 4.5) and ST + PPR (aRRR = 1.9, 95%CI = 1.2, 3.1) as opposed to ST-only, were greater among Non-Hispanic Blacks than Non-Hispanic Whites. Compared to non-alcohol users, those with a past-12 months diagnosis of alcohol use disorder were more likely to use ST + PPR rather than ST-only (aIRR = 2.0, 95%CI = 1.1, 3.7). Non-Hispanic Blacks (aOR = 0.6, 95%CI = 0.4, 08) and individuals living in rural areas (aOR = 0.5, 95%CI = 0.3, 09) were less likely to report extra-medical use of prescription medications for recreational reasons than Non-Hispanic Whites and those residing in large metropolitan areas, respectively. CONCLUSIONS: Extra-medical use of PPR-only and ST + PPR as an aid to sleep, is prevalent among Non-Hispanic Blacks, young adults, and those residing in rural areas. Most individuals reported that extra-medical use of prescription medications was primarily motivated by sleep reasons, rather than by sleep and recreational reasons. Potential interventions include access to sleep treatments, education on the effectiveness and risk associated with extra-medical use and co-use of prescription medications for sleep, and research on sleep-related disparities.
Subject(s)
Analgesics/therapeutic use , Hypnotics and Sedatives/therapeutic use , Prescription Drug Misuse/statistics & numerical data , Sleep Wake Disorders/drug therapy , Tranquilizing Agents/therapeutic use , Adolescent , Adult , Alcoholism/epidemiology , Analgesics, Opioid/therapeutic use , Drug Prescriptions/statistics & numerical data , Female , Humans , Logistic Models , Male , Middle Aged , Prevalence , Recreational Drug Use/statistics & numerical data , Sleep , Sleep Aids, Pharmaceutical/therapeutic use , Substance-Related Disorders/epidemiology , Surveys and Questionnaires , United States/epidemiology , Young AdultABSTRACT
BACKGROUND: A growing body of evidence is suggesting a significant association between the COVID-19 pandemic and population-level mental health. Study findings suggest that individuals with a lifetime history of disordered eating behavior may be negatively affected by COVID-19-related anxiety, and prevention measures may disrupt daily functioning and limit access to treatment. However, data describing the influence of the COVID-19 pandemic on disordered eating behaviors are limited, and most findings focus on individuals in treatment settings. OBJECTIVE: The aim of this study is to characterize the experiences of Reddit users worldwide who post in eating disorder (ED)-related discussion forums describing the influence of the COVID-19 pandemic on their overall mental health and disordered eating behavior. METHODS: Data were collected from popular subreddits acknowledging EDs as their primary discussion topic. Unique discussion posts dated from January 1 to May 31, 2020 that referenced the COVID-19 pandemic were extracted and evaluated using inductive, thematic data analysis. RESULTS: Six primary themes were identified: change in ED symptoms, change in exercise routine, impact of quarantine on daily life, emotional well-being, help-seeking behavior, and associated risks and health outcomes. The majority of users reported that the COVID-19 pandemic and associated public health prevention measures negatively impacted their psychiatric health and contributed to increased disordered eating behaviors. Feelings of isolation, frustration, and anxiety were common. Many individuals used Reddit forums to share personal experiences, seek advice, and offer shared accountability. CONCLUSIONS: Reddit discussion forums have provided a therapeutic community for individuals to share experiences and provide support for peers with ED during a period of increased psychiatric distress. Future research is needed to assess the impact of the COVID-19 pandemic on disordered eating behavior and to evaluate the role of social media discussion forums in mental health treatment, especially during periods of limited treatment access.
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BACKGROUND: In the United States, well-documented racial disparities in health outcomes are frequently attributed to racial bias and socioeconomic inequalities. However, it remains unknown whether racial disparities in mortality persist among those with higher socioeconomic status (SES) and occupational prestige. OBJECTIVE: As the celebrity population is generally characterized by high levels of SES and occupational prestige, this study aimed to examine survival differences between black and white film celebrities. METHODS: Using a Web-based, open-source encyclopedia (ie, Wikipedia), data for 5829 entries of randomly selected American film actors and actresses born between 1900 and 2000 were extracted. A Kaplan-Meier survival curve was conducted using 4356 entries to compare the difference in survival by race. A Cox semiparametric regression analysis examined whether adjusting for year of birth, gender, and cause of death influenced differences in survival by race. RESULTS: Most celebrities were non-Hispanic white (3847/4352, 88.4%), male (3565/4352, 81.9%), and born in the United States (4187/4352, 96.2%). Mean age at death for black celebrities (64.1; 95% CI 60.6-67.5 years) was 6.4 years shorter than that for white celebrities (70.5; 95% CI 69.6-71.4 years; P<.001). Black celebrities had a faster all-cause mortality rate using Kaplan-Meier survival function estimates and a log-rank test. However, in a Cox semiparametric regression, there was no longer a significant difference in survival times between black and white celebrities (hazard ratio 1.07; 95% CI 0.87-1.31). CONCLUSIONS: There is some evidence that racial disparities in all-cause mortality may persist at higher levels of SES, but this association was no longer significant in adjusted analyses. Further research is needed to examine if racial disparities in mortality are diminished at higher levels of SES among more representative populations.
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OBJECTIVE: The Florida Department of Health in Miami-Dade County (DOH-Miami-Dade) investigated 106 reported carbon monoxide (CO) exposures over a 9-day timeframe after Hurricane Irma. This report evaluates risk factors for CO poisoning and the importance of heightened surveillance following natural disasters. METHODS: Data on CO poisoning cases from September 9 to 18, 2017 were extracted from Merlin, the Florida Department of Health Surveillance System. Medical records were obtained and follow-up interviews were conducted to collect data on the confirmed CO poisoning cases. Data were analyzed using SAS v9.4. RESULTS: Ninety-one of the 106 people exposed to CO met the case definition for CO poisoning: 64 confirmed, 7 probable, and 20 suspect cases. Eighty-eight percent of the affected individuals were evaluated in emergency departments and 11.7% received hyperbaric oxygen treatment. The most frequently reported symptoms included headache (53.3%), dizziness (50.7%), and nausea (46.7%). Three patients expired due to their exposure to CO. CONCLUSIONS: Post Hurricane Irma, the DOH-Miami-Dade investigated numerous cases for CO exposure. By understanding who is most likely to be impacted by CO and the impact of generators' location on people's health, education efforts can be tailored to the population most at risk and further CO exposures and related mortalities following natural disasters can be reduced. (Disaster Med Public Health Preparedness. 2019;13:94-96).