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Psychedelic compounds have been linked to salutary mental health outcomes in both naturalistic and clinical settings; however, current research on psychedelics suffers from a lack of inclusion and focus on racial and ethnic minorities. Thus, the goal of our study was to assess whether race and ethnicity moderate the associations that naturalistic lifetime MDMA (3,4-Methylenedioxymethamphetamine) use and psilocybin use share with past month psychological distress and past year suicidality (ideation and planning). Using data from the National Survey on Drug Use and Health (NSDUH) (2008–2019) ( N  = 484,732), we conducted survey-weighted multivariable logistic regression to conduct interaction tests and to assess the associations that MDMA use and psilocybin use share with the aforementioned outcomes for each racial and ethnic group. Race and ethnicity significantly moderated the associations between MDMA and psilocybin use and psychological distress and suicidality. For White participants, MDMA and psilocybin use conferred lowered odds of all distress and suicidality outcomes. For racial and ethnic minority participants, the associations between psychedelic use and suicidality were far fewer. These findings invite further research into the impact of race, ethnicity, and other identity factors (e.g., socioeconomic status, sexual/gender minority status) on the effects of psychedelic substances.

Suicide is a leading cause of death worldwide. Although research has made strides in better defining suicidal behaviors, there has been less focus on accurate measurement. Currently, the widespread use of self-report, single-item questions to assess suicide ideation, plans and attempts may contribute to measurement problems and misclassification. We examined the validity of single-item measurement and the potential for statistical errors. Over 1,500 participants completed an online survey containing single-item questions regarding a history of suicidal behaviors, followed by questions with more precise language, multiple response options and narrative responses to examine the validity of single-item questions. We also conducted simulations to test whether common statistical tests are robust against the degree of misclassification produced by the use of single-items. We found that 11.3% of participants that endorsed a single-item suicide attempt measure engaged in behavior that would not meet the standard definition of a suicide attempt. Similarly, 8.8% of those who endorsed a single-item measure of suicide ideation endorsed thoughts that would not meet standard definitions of suicide ideation. Statistical simulations revealed that this level of misclassification substantially decreases statistical power and increases the likelihood of false conclusions from statistical tests. Providing a wider range of response options for each item reduced the misclassification rate by approximately half. Overall, the use of single-item, self-report questions to assess the presence of suicidal behaviors leads to misclassification, increasing the likelihood of statistical decision errors. Improving the measurement of suicidal behaviors is critical to increase understanding and prevention of suicide.

Cocaine Use Disorder (CUD) is a significant public health problem associated with elevated morbidity and mortality within the United States. Current behavioral treatments have limited efficacy and there are currently no FDA approved pharmacological treatments for CUD. Classic psychedelics might be associated with lowered odds of substance misuse and may effectively treat various forms of addiction. Thus, the goal of this study is to assess protective associations that lifetime use of classic psychedelics may share with CUD within a nationally representative sample of the U.S. We used data from The National Survey on Drug Use and Health (NSDUH) (2015–2019) and conducted survey-weighted multivariable logistic regression to test whether each of four classic psychedelics (peyote, mescaline, psilocybin, LSD) conferred lowered odds of CUD and its related 11 sub-criteria. Participants were 214,505 adults in the NSDUH (2015–2019) aged 18 and older. Peyote conferred lowered odds of CUD, reducing the odds of CUD by over 50% (aOR: 0.47). All other substances (including other classic psychedelics) either shared no association to CUD or conferred increased odds of CUD. Furthermore, sensitivity analyses revealed peyote to confer sharply lowered odds of the majority (seven of 11) of CUD criteria as well (aOR range: 0.26–0.47). Peyote use is associated with lowered odds of CUD. Future inquiries into third variable factors (i.e., demographic/personality profiles of individuals who use peyote, motivational/contextual factors surrounding peyote use) that may underlie our observed associations may reveal protective factors that can inform treatment development for CUD. Additionally, future longitudinal studies can shed further light on whether there is a temporal link between peyote use and lowered odds of CUD.

Opioid use disorder (OUD) is a major source of morbidity and mortality in the U.S. and there is a pressing need to identify additional treatments for the disorder. Classic psychedelics (psilocybin, peyote, mescaline, LSD) have been linked to the alleviation of various substance use disorders and may hold promise as potential treatments for OUD. The aim of this study was to assess whether the aforementioned classic psychedelic substances conferred lowered odds of OUD. Furthermore, this study aimed to replicate and extend findings from Pisano et al. (2017) who found classic psychedelic use to be linked to lowered odds of OUD in a nationally representative sample. We used recent data from the National Survey on Drug Use and Health (2015–2019) ( N  = 214,505) and multivariable logistic regression to test whether lifetime use (yes/no) of classic psychedelics was associated with lowered odds of OUD. Lifetime psilocybin use was associated with lowered odds of OUD (aOR: 0.70; 95% CI [0.60, 0.83]). No other substances, including other classic psychedelics, were associated with lowered odds of OUD. Additionally, sensitivity analyses revealed psilocybin use to be associated with lowered odds of seven of the 11 DSM-IV criteria for OUD (aOR range: 0.66–0.83). Future clinical trials and longitudinal studies are needed to determine whether these associations are causal.

Tobacco use is the single largest cause of preventable death worldwide, but none of the established treatments aimed at smoking cessation work for a majority of smokers. As such, there is an urgent need for interventions capable of reliably treating nicotine addiction. The use of classic psychedelics has been associated with lower odds of many forms of substance dependence. Here we tested whether lifetime use of classic psychedelics (tryptamine, lysergamide, and phenethylamine) is associated with lower odds of current nicotine dependence. We tested these associations in a sample of 214,505 adult participants in the National Survey on Drug Use and Health (2015–2019) using multivariable logistic regression models. Lifetime psilocybin use was associated with reduced odds of odds of current nicotine dependence (aOR 0.87–0.93). Lifetime use of peyote and mescaline also conferred reduced odds of multiple subdomains of a main nicotine dependence measure (Nicotine Dependence Syndrome Scale [NDSS]) (aOR 0.79–0.91). Conversely, lifetime use of LSD was associated with increased odds of nicotine dependence (aOR 1.17–1.24). Psilocybin, mescaline, and peyote use are associated with lowered odds of nicotine dependence. Experimental studies are needed to establish whether these associations are causal. These results make the case for further research into the efficacy of both tryptamine and phenethylamine psychedelics in promoting smoking cessation.

BackgroundStressful life events are a common antecedent of suicidal thoughts. However, not all stressful events lead to increased suicidal thinking, even among those who frequently have suicidal thoughts. In this study, we examined whether the ways that individuals regulate their emotions moderates the association between stressful events and suicidal thinking. Building on prior research we hypothesized that cognitive reappraisal is associated with a weaker relationship between stress and same-day suicidal thoughts, and that expressive suppression is associated with a stronger relationship between stress and suicidal thoughts.MethodWe used a daily diary method to collect self-reports of stressful events and suicidal thoughts over a 28-day period. At baseline, we assessed participants’ tendency to use cognitive reappraisal and expressive suppression.ResultsConsistent with our first hypothesis, we found that at higher levels of reappraisal, there was a weaker relationship between stress and suicidal thoughts. Contrary to our second hypothesis, we found that at higher levels of expressive suppression there was also a weaker relationship between stress and suicidal thoughts.ConclusionsIn contrast to laboratory-based findings suggesting that expressive suppression has negative psychological effects, these preliminary daily diary results suggest that expressive suppression could be an effective short-term emotion regulation strategy among individuals considering suicide.

Several recent studies have applied machine learning techniques to develop risk algorithms that predict subsequent suicidal behavior based on electronic health record data. In this study we used a retrospective cohort study design to test whether developing more tailored predictive models—within specific subpopulations of patients—would improve predictive accuracy. A retrospective cohort of 15,117 patients diagnosed with multiple sclerosis (MS), a diagnosis associated with increased risk of suicidal behavior, was used. The cohort was randomly divided into equal sized training and validation sets. Overall, suicidal behavior was identified among 191 (1.3%) of the patients with MS. A Naïve Bayes Classifier model was trained on the training set to predict future suicidal behavior. With 90% specificity, the model detected 37% of subjects who later demonstrated suicidal behavior, on average 4.6 years before the first suicide attempt. The performance of a model trained only on MS patients was better at predicting suicide in MS patients than that a model trained on a general patient sample of a similar size (AUC of 0.77 vs. 0.66). Unique risk factors for suicidal behavior among patients with MS included pain-related codes, gastroenteritis and colitis, and history of smoking. Future studies are needed to further test the value of developing population-specific risk models.

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.

Nonsuicidal self-injury (NSSI) is a prevalent but perplexing behavior problem in which people deliberately harm themselves without lethal intent. Research reveals that NSSI typically has its onset during early adolescence; most often involves cutting or carving the skin; and appears equally prevalent across sexes, ethnicities, and socioeconomic statuses. Less is known about why people engage in NSSI. This article presents a theoretical model of the development and maintenance of NSSI. Rather than a symptom of mental disorder, NSSI is conceptualized as a harmful behavior that can serve several intrapersonal (e.g., affect regulation) and interpersonal (e.g., help-seeking) functions. Risk of NSSI is increased by general factors that contribute to problems with affect regulation or interpersonal communication (e.g., childhood abuse) and by specific factors that influence the decision to use NSSI rather than some other behavior to serve these functions (e.g., social modeling). This model synthesizes research from several different areas of the literature and points toward several lines of research needed to further advance the understanding of why people hurt themselves.

Suicide is a leading cause of death worldwide. Mental disorders are among the strongest predictors of suicide; however, little is known about which disorders are uniquely predictive of suicidal behavior, the extent to which disorders predict suicide attempts beyond their association with suicidal thoughts, and whether these associations are similar across developed and developing countries. This study was designed to test each of these questions with a focus on nonfatal suicide attempts. Data on the lifetime presence and age-of-onset of Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV) mental disorders and nonfatal suicidal behaviors were collected via structured face-to-face interviews with 108,664 respondents from 21 countries participating in the WHO World Mental Health Surveys. The results show that each lifetime disorder examined significantly predicts the subsequent first onset of suicide attempt (odds ratios [ORs] = 2.9-8.9). After controlling for comorbidity, these associations decreased substantially (ORs = 1.5-5.6) but remained significant in most cases. Overall, mental disorders were equally predictive in developed and developing countries, with a key difference being that the strongest predictors of suicide attempts in developed countries were mood disorders, whereas in developing countries impulse-control, substance use, and post-traumatic stress disorders were most predictive. Disaggregation of the associations between mental disorders and nonfatal suicide attempts showed that these associations are largely due to disorders predicting the onset of suicidal thoughts rather than predicting progression from thoughts to attempts. In the few instances where mental disorders predicted the transition from suicidal thoughts to attempts, the significant disorders are characterized by anxiety and poor impulse-control. The limitations of this study include the use of retrospective self-reports of lifetime occurrence and age-of-onset of mental disorders and suicidal behaviors, as well as the narrow focus on mental disorders as predictors of nonfatal suicidal behaviors, each of which must be addressed in future studies. This study found that a wide range of mental disorders increased the odds of experiencing suicide ideation. However, after controlling for psychiatric comorbidity, only disorders characterized by anxiety and poor impulse-control predict which people with suicide ideation act on such thoughts. These findings provide a more fine-grained understanding of the associations between mental disorders and subsequent suicidal behavior than previously available and indicate that mental disorders predict suicidal behaviors similarly in both developed and developing countries. Future research is needed to delineate the mechanisms through which people come to think about suicide and subsequently progress from ideation to attempts.