Access to mental health support, unmet need and preferences among adolescents during the first year of the COVID-19 pandemic. / Accès à du soutien en santé mentale, besoins non comblés et préférences en la matière chez les adolescents au cours de la première année de la pandémie de COVID-19.

INTRODUCTION: The COVID-19 pandemic has had widespread effects on adolescent mental health. However, little is known about support-seeking, unmet need and preferences for mental health care among adolescents. METHODS: The Youth Development Instrument (YDI) is a school-administered survey of adolescents (N = 1928, mean age = 17.1, SD = 0.3) across British Columbia, Canada. In this cohort, we assessed the characteristics of accessed mental health supports, prevalence of unmet need and preferences for in-person versus internet-based services. RESULTS: Overall, 40% of adolescents obtained support for mental health, while 41% experienced unmet need. The most commonly accessed supports were family doctors or pediatricians (23.1%) and adults at school (20.6%). The most preferred mode of mental health care was in-person counselling (72.4%), followed by chat-based services (15.0%), phone call (8.1%) and video call (4.4%). The adjusted prevalence of accessing support was elevated among adolescents with anxiety (adjusted prevalence ratio [aPR] = 1.29, 95% CI: 1.10-1.51), those who used alcohol (1.14, 1.01-1.29), gender minorities (1.28, 1.03-1.58) and sexual minorities (1.28, 1.03-1.45). The adjusted prevalence of unmet need was elevated among adolescents with depression (1.90, 1.67-2.18), those with anxiety (1.78, 1.56-2.03), females (1.43, 1.31-1.58), gender minorities (1.45, 1.23-1.70) and sexual minorities (1.15, 1.07-1.23). CONCLUSION: Adolescents of gender or sexual minority status and those with anxiety were more likely than others to have discussed mental health concerns and also to have reported unmet need. The most common sources of support were primary health care providers and adults at school, while the most and least preferred modes of support were in-person and video call services, respectively.

Early Career Training in Addiction Medicine: A Qualitative Study with Health Professions Trainees Following a Specialized Training Program in a Canadian Setting.

Background: There has been a notable deficiency in the implementation of addiction science in clinical practice and many healthcare providers feel unprepared to treat patients with substance use disorders (SUD) following training. However, the perceptions of addiction medicine training by learners in health professions have not been fully investigated. This qualitative study explored perceptions of prior training in SUD care among early-career trainees enrolled in Addiction Medicine fellowships and electives in Vancouver, Canada. Methods: From April 2015 - August 2018, we interviewed 45 early-career physicians, social workers, nurses, and 17 medical students participating in training in addiction medicine. We coded transcripts inductively using qualitative data analysis software (NVivo 11.4.3). Results: Findings revealed six key themes related to early-career training in addiction medicine: (1) Insufficient time spent on addiction education, (2) A need for more structured addictions training, (3) Insufficient hands-on clinical training and skill development, (4) Lack of patient-centeredness and empathy in the training environment, (5) Insufficient implementation of evidence-based medicine, and (6) Prevailing stigmas toward addiction medicine. Conclusion: Early clinical training in addiction medicine appears insufficient and largely focused on symptoms, rather than etiology or evidence. Early career learners in health professions perceived benefit to expanding access to quality education and reported positive learning outcomes after completing structured training programs.

Trends in Prescriptions for Non-opioid Pain Medications Among U.S. Adults With Moderate or Severe Pain, 2014-2018.

As opioid prescribing has declined, it is unclear how the landscape of prescription pain treatment across the U.S. has changed. We used nationally-representative data from the Medical Expenditure Health Survey, 2014 to 2018 to examine trends in prescriptions for opioid and non-opioid pain medications, including acetaminophen, non-steroidal anti-inflammatory drugs, gabapentinoids, and antidepressants among U.S. adults with self-reported pain. Overall, from 2014 to 2018, the percentage of participants receiving a prescription for opioids declined, (38.8% vs 32.8%), remained stable for non-steroidal anti-inflammatory drugs (26.8% vs 27.7%), and increased for acetaminophen (1.6% vs 2.3%), antidepressants (9.6% vs 12.0%) and gabapentinoids (13.2% vs 19.0%). In this period, the adjusted odds of receiving an opioid prescription decreased (aOR = .93, 95% CI = .90-.96), while the adjusted odds of receiving antidepressant, gabapentinoid and acetaminophen prescriptions increased (antidepressants: aOR = 1.08, 95% CI = 1.03-1.13 gabapentinoids: aOR = 1.11, 95% CI = 1.06-1.17; acetaminophen: aOR = 1.10, 95% CI: 1.02-1.20). Secondary analyses stratifiying within the 2014 to 2016 and 2016 to 2018 periods revealed particular increases in prescriptions for gabapentinoids (aOR = 1.13, 95% CI = 1.05-1.21) and antidepressants (aOR = 1.23, 95% CI = 1.12-1.35) since 2016. PERSPECTIVE: These data demonstrate that physicians are increasingly turning to CDC-recommended non-opioid medications for pain management, particularly antidepressants and gabapentinoids. However, evidence for these medications' efficacy in treating numerous common pain conditions, including low back pain, remains limited.

Prospective effects of loneliness on frequency of alcohol and marijuana use.

BACKGROUND: Loneliness is a widespread problem, with demonstrated negative health effects. However, prospective data on the relationship between loneliness and problematic substance use are lacking, and few studies have examined specific commonplace substances, such as alcohol and cannabis. This study used prospective data from a community sample of US adults with problematic alcohol or cannabis use to examine whether loneliness was a predictor of subsequent increased substance use. METHODS: Participants (N = 210) were recruited between 05/2016-06/2019 from a New York City medical center. At baseline, 3-month, and 6-month follow-ups, participants completed identical computerized questionnaires. We used generalized estimating equations to assess the average effect of past 2-week loneliness on subsequent number of days of alcohol or cannabis use, controlling for baseline days of use, demographic characteristics, and past 2-week DSM-5 depression. RESULTS: Compared with individuals who were never lonely, participants with moderate or severe loneliness had a significantly higher frequency of alcohol or cannabis use at the subsequent assessment (ß = 0.25 95% CI: 0.08-0.42). CONCLUSION: Individuals experiencing loneliness at least a few times in the past 2 weeks reported more days of subsequent alcohol or cannabis use compared with individuals who were not lonely. This is cause for concern, as national surveys of US adults indicate increasing rates of loneliness, depression and substance use during the COVID-19 pandemic. These results suggest the need for health care providers to screen for feelings of loneliness and potentially harmful coping behaviors such as substance use, and to offer healthier alternative coping strategies.

Is Cannabis being used as a substitute for non-medical opioids by adults with problem substance use in the United States? A within-person analysis.

BACKGROUND AND AIMS: Ecological studies have suggested that Cannabis legalization might have led to a decrease in opioid overdose deaths. Such studies do not provide information about whether individuals are substituting Cannabis for opioids at different points in time. The current study assessed the magnitude of the daily association between Cannabis and opioid use in individual adults with and without pain who use non-medical opioids. DESIGN: Prospective cohort study. SETTING: The greater New York area and a suburban inpatient addiction program. PARTICIPANTS: Adults with problem substance use who use non-medical opioids, recruited from May 2016-June 2019. The analytical sample included 13 271 days of observation among 211 participants (64% male, 41% white, 78% unmarried, 80% unemployed, mean age 43 years). MEASUREMENTS: Participants completed interviewer- and self-administered computerized surveys, and then responded to an interactive voice response (IVR) system daily for the following 90 days. The main exposures, Cannabis use and pain, were defined as responding affirmatively to the IVR question: 'Did you use Cannabis yesterday?' and endorsing moderate or severe pain at baseline, respectively. The main outcome, non-medical or illicit opioid use during 90-day follow-up, was defined as responding affirmatively to IVR question: 'Did you use heroin yesterday?' or 'Did you use prescription opioids more than prescribed or without a prescription yesterday?'. FINDINGS: The mean IVR completion rate was 70%. The unadjusted odds ratio (aOR) indicating same-day use of Cannabis and opioids was 2.00 [95% confidence interval (CI) = 1.54-2.59]. Controlling for demographic characteristics, recruitment method, opioid types at baseline and pain, the aOR was 1.86 (95% CI = 1.44-2.41). A test of interaction between pain and Cannabis use to determine if the association of Cannabis with opioid use differed between people with moderate-to-severe pain and less-than-moderate pain was inconclusive. CONCLUSIONS: Among US adults with problem substance use who use non-medical opioids, the odds of opioid use appear to be approximately doubled on days when Cannabis is used. This relationship does not appear to differ between people with moderate or more severe pain versus less than moderate pain, suggesting that Cannabis is not being used as a substitute for illegal opioids.

Association of Depression With Past-Month Cannabis Use Among US Adults Aged 20 to 59 Years, 2005 to 2016.

Importance: Despite studies showing that repeated cannabis use may worsen depressive symptoms, the popular media increasingly presents cannabis as beneficial to mental health, and many members of the public view cannabis as beneficial for depression. Therefore, cannabis use among individuals with depression may be becoming more prevalent. Objective: To examine the association of depression with past-month cannabis use among US adults and the time trends for this association from 2005 to 2016. Design, Setting, and Participants: This repeated cross-sectional study used data from 16 216 adults aged 20 to 59 years who were surveyed by the National Health and Nutrition Examination Survey, a national, annual, cross-sectional survey in the United States, between 2005 and 2016. Data analysis was conducted from January to February 2020. Exposures: Survey year and depression, as indicated by a score of at least 10 on the Patient Health Questionnaire-9. Main Outcomes and Measures: Any past-month cannabis use (ie, ≥1 use in the past 30 days) and daily or near-daily past-month cannabis use (ie, ≥20 uses in the past 30 days). Logistic regression was used to examine time trends in the prevalence of cannabis use, depression, and the association between cannabis use and depression from 2005 to 2016. Results: The final analysis included 16 216 adults, of whom 7768 (weighted percentage, 48.9%) were men, 6809 (weighted percentage, 66.4%) were non-Hispanic White participants, and 9494 (weighted percentage, 65.6%) had at least some college education. They had a weighted mean age of 39.12 (95% CI, 38.23-39.40) years. Individuals with depression had 1.90 (95% CI, 1.62-2.24) times the odds of any past-month cannabis use and 2.29 (95% CI, 1.80-2.92) times the odds of daily or near-daily cannabis use compared with those without depression. The association between cannabis use and depression increased significantly from 2005 to 2016. The odds ratio for depression and any past-month cannabis use increased from 1.46 (95% CI, 1.07-1.99) in 2005 to 2006 to 2.30 (95% CI, 1.82-2.91) in 2015 to 2016. The odds ratio for depression and daily or near-daily past-month cannabis use increased from 1.37 (95% CI, 0.81-2.32) in 2005 to 2006 to 3.16 (95% CI, 2.23-4.48) in 2015 to 2016. Conclusions and Relevance: The findings of this study indicate that individuals with depression are at increasing risk of cannabis use, with a particularly strong increase in daily or near-daily cannabis use. Clinicians should be aware of these trends and the evidence that cannabis does not treat depression effectively when discussing cannabis use with patients.