MDMA/ecstasy use and psilocybin use are associated with lowered odds of psychological distress and suicidal thoughts in a sample of US adults

Background: Suicide is one of the leading causes of death worldwide and rates within the United States have risen over the past two decades. Hence, there is a critical need for novel tools to treat suicidal ideation and related mental health conditions. 3,4-Methylenedioxymethamphetamine (MDMA)/ecstasy and classic psychedelics may be two such tools. Aims: The aim of this study was to assess non-causal associations between MDMA/ecstasy and classic psychedelic use and psychological distress and suicide risk. Methods: In this study, we examined the aforementioned associations among 484,732 adult participants in the National Survey on Drug Use and Health (2008–2019). Results: Lifetime MDMA/ecstasy use was associated with reduced odds of past year suicidal thinking (10% reduced odds; odds ratio (OR) = 0.90; 95% confidence interval, CI = (0.84–0.97); p < 0.01) and past year suicidal planning (OR = 0.88; 95% CI = (0.78–0.99); p < 0.05). Furthermore, lifetime psilocybin use was associated with reduced odds of past month psychological distress (OR = 0.78; 95% CI = (0.73–0.84); p < 0.001) and past year suicidal thinking (OR = 0.90; 95% CI = (0.83–0.96); p < 0.01). Finally, lysergic acid diethylamide (LSD) was associated with increased odds of past year suicidal thinking (OR = 1.07; 95% CI = (1.00–1.15); p < 0.05). Conclusion: MDMA/ecstasy and psilocybin use are associated with reduced odds of suicidal thinking and related outcomes—though experimental studies are needed to determine whether these associations are causal. These findings call for more research into the efficacy of MDMA/ecstasy and classic psychedelics for treating psychological distress and suicidal thoughts and behaviors, and for updated drug legislation that allows for further investigation into these substances.

Can passive measurement of physiological distress help better predict suicidal thinking?

There has been growing interest in using wearable physiological monitors to passively detect the signals of distress (i.e., increases in autonomic arousal measured through increased electrodermal activity [EDA]) that may be imminently associated with suicidal thoughts. Before using these monitors in advanced applications such as creating suicide risk detection algorithms or just-in-time interventions, several preliminary questions must be answered. Specifically, we lack information about whether: (1) EDA concurrently and prospectively predicts suicidal thinking and (2) data on EDA adds to the ability to predict the presence and severity of suicidal thinking over and above self-reports of emotional distress. Participants were suicidal psychiatric inpatients (n = 25, 56% female, M age = 33.48 years) who completed six daily assessments of negative affect and suicidal thinking duration of their psychiatric inpatient stay and 28 days post-discharge, and wore on their wrist a physiological monitor (Empatica Embrace) that passively detects autonomic activity. We found that physiological data alone both concurrently and prospectively predicted periods of suicidal thinking, but models with physiological data alone had the poorest fit. Adding physiological data to self-report models improved fit when the outcome variable was severity of suicidal thinking, but worsened model fit when the outcome was presence of suicidal thinking. When predicting severity of suicidal thinking, physiological data improved model fit more for models with non-overlapping self-report data (i.e., low arousal negative affect) than for overlapping self-report data (i.e., high arousal negative affect). These findings suggest that physiological data, under certain contexts (e.g., when combined with self-report data), may be useful in better predicting—and ultimately, preventing—acute increases in suicide risk. However, some cautious optimism is warranted since physiological data do not always improve our ability to predict suicidal thinking.

Sleep problems predict next-day suicidal thinking among adolescents: A multimodal real-time monitoring study following discharge from acute psychiatric care

Suicidal thoughts and behaviors (STBs) are major public health concerns among adolescents, and research is needed to identify how risk is conferred over the short term (hours and days). Sleep problems may be associated with elevated risk for STBs, but less is known about this link in youth over short time periods. The current study utilized a multimodal real-time monitoring approach to examine the association between sleep problems (via daily sleep diary and actigraphy) and next-day suicidal thinking in 48 adolescents with a history of STBs during the month following discharge from acute psychiatric care. Results indicated that specific indices of sleep problems assessed via sleep diary (i.e., greater sleep onset latency, nightmares, ruminative thoughts before sleep) predicted next-day suicidal thinking. These effects were significant even when daily sadness and baseline depression were included in the models. Moreover, several associations between daily-level sleep problems and next-day suicidal thinking were moderated by person-level measures of the construct. In contrast, sleep indices assessed objectively (via actigraphy) were either not related to suicidal thinking or were related in the opposite direction from hypothesized. Together, these findings provide some support for sleep problems as a short-term risk factor for suicidal thinking in high-risk adolescents.

Use of a Mobile Health (mHealth) Platform for Remote Assessment of Suicidal Ideation, Depression, and Anxiety: A Longitudinal Retrospective Study

ABSTRACT Introduction There is growing support for the use of integrated measurement-based care to capture symptom data in real time so treatment providers can make informed decisions about intervention strategies for mental health problems, such as depression and anxiety, both of which are known to increase suicide. We examined the potential scalability and effectiveness of a mobile health (mHealth) application with integrated behavioral health functions to capture remote patient-reported measurement of suicidal ideation and overall symptoms of depression and anxiety. Methods This study was an observational retrospective review of deidentified patient data, including symptoms of suicidal ideation, depression, and anxiety as measured by the Patient Health Questionnaire-9 (PHQ-9) or Generalized Anxiety Disorder 7 (GAD-7) scale, which were administered to and completed by patients on a smartphone or desktop application. After controlling for age, sex, and the presence of moderate versus severe symptoms at baseline, mean scores were analyzed with the Student's t-test. Results Of patients who took the PHQ-9 assessment at baseline and 8 weeks later (n = 764), the proportion who endorsed suicidal thinking decreased from 25% to 14.66% (p &lt; 0.001) over 8 weeks. The mean PHQ-9 score was reduced from 14.69 (standard error [SE], 4.09) to 10.50 (SE, 5.94; p &lt; 0.001), and a subset of individuals who continued use and took the PHQ-9 again at 24 weeks (n = 185) had a further decrease to 9.03 (SE, 7.09, p &lt; 0.01). Although 21.62% of this subset still had suicidal thinking, the frequency of suicidal thoughts decreased. Of patients who took the GAD-7 at baseline and 8 weeks (n = 797) the mean score decreased from 14.20 (SE, 3.31) to 10.08 (SE, 5.55; p &lt; 0.001) at 8 weeks and to 7.48 (SE, 6.54; p &lt; 0.001) for a subset (n = 278) who continued use and took a GAD-7 at 24 weeks (n = 278). The sum of subgroup samples is larger than the whole because of instances of comorbid depression and anxiety. Conclusion Remote assessments within technology-supported integrated behavioral health care were feasible at scale. Change in symptoms could be observed at the individual and group level in real time, which may allow clinical teams to adjust treatments and improve outcomes. Prospective controlled studies are needed to determine what factors contribute to reductions in symptom severity.

Lived Lives at Fort Dunree: a rural Irish community perspective

Background: Elevated suicide rates have alarmed policy makers and communities. In these circumstances, the value of understanding more about communities and their potential role in suicide intervention is becoming more apparent. This study involved evaluating feedback from individuals with and without previous suicidal thinking who participated in an arts-science rural community-based intervention project around suicide in County Donegal, Ireland (Lived Lives at Fort Dunree). Methods: A combined quantitative and qualitative questionnaire was used to evaluate individual and community responses to the Lived Lives project. Results: Participants (n = 83), with and without a mental health history and previous suicidal ideation, reported they believed Lived Lives could have potential to help suicide-bereaved families, people with mental illness and people with suicidal thinking. Qualitative results suggested its’ suitability for specific groups affected by suicide. Discussion: The evaluation of the Lived Lives project indicated that supervised, “safe-space” community intervention projects around suicide have inherent value with positive impacts for bereaved individuals and communities, including those who have experienced suicidal feelings. Future research should explore the transferability of these findings to other communities, and at-risk groups.

Anticancer, Anxiolytic, Nootropic Effects of Convolvulus Pluricaulis

Mental health disorders effect thinking, behave, mood etc. these can be schizophrenia, eating beh. Addictive beh, Depression, anxiety, feeling sad, down, fear, worry, guilt, anger, violence & suicidal thinking. Convolvulus is traditionally used to treat mental disorders insomnia, fatigue, low Energy

Can Passive Measurement of Physiological Distress Help Better Predict Suicidal Thinking?

There has been growing interest in using wearable physiological monitors to passively detect the signals of distress (i.e., increases in autonomic arousal measured through increased electrodermal activity [EDA]) that may be imminently associated with suicidal thoughts. Before using these monitors in advanced applications such as creating suicide risk detection algorithms or just-in-time interventions, several preliminary questions must be answered. Specifically, we lack information about whether: (1) EDA concurrently and prospectively predicts suicidal thinking and (2) data on EDA adds to the ability to predict the presence and severity of suicidal thinking over and above self-reports of emotional distress. Participants (n=25, 56% female, M age= 33.48 years) completed six daily assessments of negative affect and suicidal thinking duration of their psychiatric inpatient stay and 28 days post-discharge, and wore on their wrist a physiological monitor (Empatica Embrace) that passively detects autonomic activity. We found that physiological data alone both concurrently and prospectively predicted periods of suicidal thinking, but models with physiological data alone had the poorest fit. Adding physiological data to self-report models improved fit when the outcome variable was severity of suicidal thinking, but worsened model fit when the outcome was presence of suicidal thinking. When predicting severity of suicidal thinking, physiological data improved model fit more for models with non-overlapping self-report data (i.e., low arousal negative affect) than for overlapping self-report data (i.e., high arousal negative affect).These findings suggest that physiological data, under certain contexts, may be useful in better predicting -- and ultimately, preventing -- acute increases in suicide risk. However, some cautious optimism is warranted since physiological data do not always improve our ability to predict suicidal thinking

Domestic Coercive Control and Common Mental Disorders Among Women in Informal Settlements in Mumbai, India: A Cross-Sectional Survey

Coercive control behaviors central to the abuse of power appear more frequent than other types of domestic violence, but little is known about its frequency, features, and consequences for women in India. We aimed to examine the prevalence of domestic coercive control and its association with physical, sexual, and emotional domestic violence in the preceding year and symptoms of depression, anxiety, and suicidal thinking. In a cross-sectional survey, we interviewed 4,906 ever-married women aged 18-49 years living in urban informal settlements in Mumbai, India. We developed a 24-item scale of coercive control, assessed physical, sexual, and emotional violence using existing questions, and screened for symptoms of depression with the Patient Health Questionnaire (PHQ9), anxiety with the Generalized Anxiety Disorder (GAD7) questionnaire, and suicidal thinking with questions developed by the World Health Organization. Estimates involved univariable and multivariable logistic regression models and the prediction of marginal effects. The prevalence of domestic coercive control was 71%. In total, 23% of women reported domestic violence in the past 12 months (emotional 19%, physical 13%, sexual 4%). Adjusted models suggested that women exposed to controlling behavior had greater odds of surviving emotional (aOR 2.1; 95% CI 1.7, 2.7), physical (1.4; 1.0, 1.9), and sexual (1.8; 1.1, 3.0) domestic violence in the past 12 months; and higher odds of a positive screen for moderate or severe depression (1.7; 1.3, 2.2), anxiety (2.1; 1.3, 3.1), and suicidal thinking (1.7; 1.2, 2.3), and increased with each additional indicator of coercive control behavior. When women reported 24 indicators of coercive control, the adjusted predicted proportion with moderate or severe depressive symptoms was 60%, anxiety 42%, and suicidal thinking 17%. Inclusion of coercive control in programs to support domestic violence, would broaden our understanding of domestic abuse to resemble most victims experience and improve interventions.

Effect of frequent assessment of suicidal thinking on its incidence and severity: high-resolution real-time monitoring study

Summary Researchers, clinicians and patients are increasingly using real-time monitoring methods to understand and predict suicidal thoughts and behaviours. These methods involve frequently assessing suicidal thoughts, but it is not known whether asking about suicide repeatedly is iatrogenic. We tested two questions about this approach: (a) does repeatedly assessing suicidal thinking over short periods of time increase suicidal thinking, and (b) is more frequent assessment of suicidal thinking associated with more severe suicidal thinking? In a real-time monitoring study (n = 101 participants, n = 12 793 surveys), we found no evidence to support the notion that repeated assessment of suicidal thoughts is iatrogenic.