Anxiety Disorders

Lifetime use of psychedelics is associated with better mental health indicators during the COVID-19 pandemic

In a survey of 5,618 adults during the COVID‑19 pandemic, lifetime psychedelic use was associated with higher positive affect and personality traits favouring plasticity and resilience (increased openness and a higher beta factor), alongside decreased conscientiousness. No link was found between lifetime psychedelic use and impaired mental health, whereas some other psychoactive drugs were associated with worse indicators.

Authors

  • Enzo Tagliazucchi

Published

Journal of Psychedelic Studies
individual Study

Abstract

Abstract Background and aims The COVID-19 pandemic and its consequences represent a major challenge to the mental health and well-being of the general population. Building on previous work on the potential long-term benefits of psychedelics, we hypothesized that lifetime use of these drugs could be linked to better mental health indicators in the context of the ongoing pandemic. Methods Two anonymous online surveys were conducted between April and June 2020, including questions about lifetime experience with psychedelics and other psychoactive drugs, and psychometric scales designed to measure personality traits, anxiety, negative, and positive affect, well-being, and resilience. Principal component analysis was applied to divide the sample into groups of subjects based on their drug use reports. Results Five thousand six hundred eighteen participants (29.15 0.12 years, 71.97% female) completed both surveys and met the inclusion criteria, with 32.43% of the sample reporting at least one use of a psychedelic drug. Preliminary analyses showed that certain psychedelics were linked to improved mental health indicators, while other psychoactive drugs exhibited the opposite behavior. Lifetime psychedelic use was linked to increased openness and decreased conscientiousness, and to higher scores of positive affect. The reported number of past psychedelic experiences predicted higher scores of the secondary personality trait beta factor, which has been interpreted as a measure of plasticity. No significant associations between lifetime use of psychedelics and indicators of impaired mental health were observed. Conclusion We did not find evidence of an association between lifetime use of psychedelics and poor mental health indicators. Conversely, experience with psychedelic drugs was linked to increased positive affect and to personality traits that favor resilience and stability in the light of the ongoing crisis.

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Research Summary of 'Lifetime use of psychedelics is associated with better mental health indicators during the COVID-19 pandemic'

Introduction

Psychedelic compounds such as mescaline, psilocybin and N,N-dimethyltryptamine act principally as 5-HT2A receptor agonists and have long histories of ceremonial and medicinal use. Interest in their psychological effects revived after early clinical work in the mid-20th century, but research was largely curtailed following classification of many psychedelics as Schedule 1 substances amid concerns about long-term harms. Subsequent epidemiological and experimental studies have not supported a clear association between lifetime psychedelic use and increased rates of mental illness, and recent clinical research has renewed interest in their potential to produce durable psychological change and therapeutic benefit, particularly when the acute experience has mystical-type features. Cavanna and colleagues set out to examine whether lifetime psychedelic use was associated with mental health indicators during the COVID-19 pandemic, a broadly shared environmental stressor. Specifically, the investigators compared anxiety, positive and negative affect, well-being and resilience between people reporting past psychedelic use and those reporting other psychoactive drug use, and explored whether lifetime psychedelic exposure related to personality traits and higher-order personality factors that might confer resilience. The study was conducted in Argentina during the early months of the pandemic and lockdown measures, a context expected to depress population-level measures of well-being.

Methods

The researchers ran an anonymous, internet-based survey in two parts between April and June 2020. Recruitment used social media; both parts were presented separately (one focusing on drug use and mental health scales, the other on personality) and were completed in Spanish. Inclusion criteria for analysis were Argentinian residency, age over 18, male or female gender identity, and provision of online informed consent. Ethical approval was obtained from the ethics committee of Centro de Educación Médica e Investigaciones Clínicas Norberto Quirno. The first questionnaire collected sociodemographic information and lifetime use of a range of psychoactive compounds, together with the State-Trait Anxiety Inventory (STAI), the Positive and Negative Affect Schedule (PANAS), the Psychological Well-being Scale (BIEPS) and a local adaptation of the Resilience Scale (RS). The second questionnaire administered the Big Five Inventory (BFI). Psychometric scales were scored using participants’ responses, gender and age relative to regional normative values; scores were then transformed to a uniform scale (described in the paper as z-scores) to facilitate comparison. Data from the two parts were merged via a unique identifier. Descriptive statistics and Pearson correlations between scales/subscales were computed to characterise relationships among measures. To address poly-drug use and reduce the number of statistical tests, the investigators used principal component analysis (PCA; via singular value decomposition) on a binary matrix of lifetime use for each drug. PCA yielded interpretable components grouping drugs by co-occurrence patterns. Participants were allocated to mutually exclusive groups based on component scores: "recreational" (e.g., LSD, MDMA, psilocybin and dissociatives), "entheogen" (serotonergic psychedelics often used ceremonially such as DMT, ayahuasca, San Pedro, bufo variants and 5-MeO-DMT), "prescription" (antidepressants, antipsychotics, sedatives), and a "legal/non-user" group (only legal drugs such as caffeine, alcohol, tobacco). Participants whose PCA scores did not clearly place them in a group (11.36% of the sample) were excluded from group comparisons. Group differences were tested with ANOVA followed by pairwise Student’s t-tests, with Bonferroni correction applied where stated.

Results

Of 11,365 respondents to the first survey and 157,101 to the second, 10,722 completed both parts. After excluding 5,104 participants who did not meet inclusion criteria, the final analysed sample comprised 5,618 individuals (mean age 29.15 ± 0.12 years; 71.97% female). A total of 32.43% reported at least one lifetime use of a psychedelic drug. When psychometric scores were transformed relative to regional norms, the sample as a whole showed reduced positive indicators compared to the normative average: resilience notably below the regional mean (reported as −2.74), well-being −0.74, and PANAS positive affect −0.54. Conversely, STAI state anxiety (0.30), STAI trait anxiety (0.28) and PANAS negative affect (0.06) were above the regional averages, consistent with an adverse effect of the pandemic and lockdown on mental health. Pairwise correlations among scales behaved as expected: resilience and well-being correlated positively and both correlated negatively with state/trait anxiety, negative affect and neuroticism. The alpha factor (a composite of agreeableness, conscientiousness and inverse neuroticism) correlated positively with healthy indicators, while the beta factor (a composite of extraversion and openness) correlated with well-being and resilience. Openness and agreeableness showed limited correlations with other scales. Initial drug-by-drug comparisons (unadjusted for poly-drug use) suggested a double dissociation: certain psychedelics (principally psilocybin, LSD and, to a lesser degree, ayahuasca) were associated with lower state/trait anxiety and negative affect and higher well-being, positive affect and resilience-related subscales. By contrast, non-psychedelic drugs (including prescription medications, caffeine, alcohol, tobacco and cannabis) were associated with higher scores on measures linked to mental health impairment and lower well-being indicators; MDMA was an exception within this group, being linked to higher scores on the social ties subscale of well-being. PCA-derived groups (recreational, entheogen, prescription, legal/non-user) produced significant group effects (ANOVA P < 0.05, Bonferroni corrected for four comparisons) across most BFI scores and psychometric scales, with the exception of agreeableness (P = 0.121). Key group differences included higher extraversion and lower conscientiousness in the recreational group compared with non-users; increased openness in both recreational and entheogen groups, with entheogen users showing higher openness than recreational users; and elevated neuroticism and lower mental-health-related measures in the prescription group relative to others. Positive affect was higher in the entheogen group compared with all other groups. The alpha factor was lower in the prescription group compared with the other groups, whereas the beta factor was higher in both recreational and entheogen groups. Importantly, the reported number of lifetime psychedelic experiences correlated positively with beta factor scores, indicating a dose‑related association between lifetime psychedelic exposure and this higher-order personality dimension.

Discussion

Cavanna and colleagues interpret their findings as failing to support an association between lifetime psychedelic use and impaired mental health; rather, they report relationships consistent with enhanced traits and states linked to resilience among psychedelic users during the COVID-19 crisis. The study replicated expected associations among personality traits, affect and measures of well-being and resilience, and used PCA to disentangle overlapping patterns of poly-drug use. Users classified in recreational and entheogen groups exhibited higher openness and, in some cases, higher extraversion; both groups also showed elevated beta factor scores, which the authors discuss as indexing "plasticity" or a tendency toward self‑expansion. The entheogen group in particular showed higher positive affect, whereas the prescription group displayed greater neuroticism and lower scores on several healthy‑mental‑state indicators. The investigators highlight two main interpretations for the link between lifetime psychedelic use and personality differences: first, repeated pharmacological activation of 5-HT2A receptors could induce lasting neurobiological or gene-expression changes that alter personality; second, psychedelic use might be leveraged psychotherapeutically to promote adaptive personality change, either as a direct therapeutic goal or as an intermediate step to treat disorders such as depression. The authors also outline a hierarchical conceptual model in which stable factors (personality, trait anxiety) shape cognitive styles that in turn influence transient emotional states, with cumulative effects on perceived well-being and resilience. Several limitations acknowledged by the authors temper causal inference. Data were self-reported and could not be independently verified, including the identity and dose of substances consumed. Unmeasured confounders may influence associations despite the PCA approach used to mitigate poly-drug effects. Most importantly, the cross-sectional survey design precludes conclusions about causality or temporal direction: it remains possible that pre-existing personality differences predispose individuals to both psychedelic use and better coping during stress. The authors recommend longitudinal or experimental studies to determine whether observed associations reflect long-term effects of psychedelics and to clarify implications for therapeutic applications.

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RESULTS

Data from the two questionnaires was merged according to a unique identifier. Due to the scope of the ethics approval, and because the local adaptation of psychometric scales is limited to male and female Argentinian adults, only participants older than 18 years old, residents of Argentina, and with male or female gender identity were retained for subsequent analysis. Psychometric scales (i.e., STAI, PANAS, BIEPS, RS, BFI) were scored using the subject's answers, gender, and age to obtain a value representing the results compared to values previously obtained and tabulated for the local population within the same gender and age group, according to the procedure specified in each psychometric manual. Next, all values were converted to a uniform scale between 0 and 10 (i.e., z-score) in order to facilitate comparison. Data analysis was performed using Python 3.7. Descriptive statistics (e.g., means, standard deviations, and standard errors from the mean [SEM]) were used to characterize the scale and subscale scores of the survey. Pearson's linear correlation coefficient was computed between all pairs of scales and subscales to assess whether the different dimensions of our dataset were related as expected (e.g., positive correlations between the dimensions related to good mental health). To reduce the dimensionality of the data and thus the number of independent statistical tests, and to avoid the issue of non-independent samples, we first conducted a principal component analysis (PCA) of the data based on computing the singular value decomposition of the centered data matrix. The rows of the data matrix corresponded to individual participants, and its columns contained binary values indicating whether the participants reported lifetime use of each drug, i.e., one drug per column. After grouping the drug use variables into interpretable principal components, we applied analysis of variance (ANOVA) followed by Student's t-tests to determine statistically significant differences between groups of users assigned to the different principal components. Bonferroni correction for multiple comparisons was applied whenever stated in the description of the results. We note that PCA allowed us to group drugs whose reported lifetime uses were highly correlated in a data-driven way, thus avoiding the issue of non-independent samples (i.e., subjects who consumed several drugs in the past) without introducing ad-hoc groups.

CONCLUSION

The current study investigated the relationship between lifetime use of psychoactive drugs and reported levels of anxiety, positive and negative affect, well-being, resilience, and personality traits. We focused our analysis on the possibility that psychedelic drugs could confer sustained benefits, which are manifested as better mental health indicators during the ongoing COVID-19 pandemic. Concerning the general mental health status of the sample, after scoring positive and negative scales and transforming them to z-scores we compared the results to the regional average and observed reduced values, particularly in resilience (À2.74), but also in well-being (À0.74) and PANAS positive affect (À0.54), and higher values in STAI state anxiety (0.3), STAI trait anxiety (0.28), and PANAS negative affect (0.06) (Fig., panel B), in all cases compared to the normative values corresponding to the age-and gender-adjusted regional average. We expected an effect on mental health indicators as a consequence of the social isolation and uncertainty associated with the COVID-19 outbreak. This result is in line with preliminary reports showing serious consequences in the mental health of the general population during the pandemic. We observe that our results successfully replicated known results concerning the relationship between personality traits and different mental health indicators. Figureconfirms the positive correlation between BIEPS, RS, and PANAS positive affect scores, and negative correlations between STAI trait and state, and PANAS negative affect. Concerning personality traits, neuroticism correlated both with temporary psychological states (i.e., negative affect, state anxiety) and more stable personality characteristics (i.e., trait anxiety), confirming a significant association between this trait and negative emotion. Higher order traits also behaved as expected, beta factor being correlated with the well-being and resilience scores, and alpha factor behaving opposite to the neuroticism trait, i.e., exhibiting similar correlations of the opposite sign. We investigated the relationship between self-reported drug use and the psychometric questionnaire scores by first applying principal component analysis to group subjects according to their experiences with psychoactive drugs. These groups reflected how the use of drugs was clustered in our sample: the first component included mainstream psychedelic, entactogen, and dissociative drugs, most of which are consumed in recreational contexts; the second group only included serotonergic psychedelics that are commonly consumed in religious or ceremonial context; the final group included prescription psychoactive drugs such as antidepressants, antipsychotics and sedatives. This classification was useful to highlight the specific effects of certain psychedelic drugs, which likely transcend their pharmacological action and emerge as a consequence of interactions with contextual factors (i.e., set and setting) (Carhart-Harris &. We confirmed that experience psychedelic drugs was associated with changes in personality traits indexing the experience of novelty. Openness refers to active curiosity in the intellectual domain, while extraversion, represents openness behavioral counterpart but oriented to the material world, involving an active type of curiosity that includes (but is not limited to) social interactions. Both openness and extraversion are functional characteristics, since a person who faces the environment in a positive way is more likely to obtain reinforcement from the interaction and thus adapt his or her behavior accordingly, suggesting a link between these traits and serotonergic and dopaminergic circuits. As shown in Fig., the reported number of psychedelic drug uses was positively correlated with openness and extraversion; furthermore, lifetime use of psychedelic were linked to significant increases in these traits (with the exception of the extraversion trait for the "entheogen" group). Although these results are particularly interesting, due to the nature of our study we cannot confirm whether this increment was caused by lifetime use of psychedelic drugs, or due to different preexisting personality traits psychedelic drug users. Concerning second order personality traits, alpha and beta factors presented significant increases in the groups of psychedelic users, and the reported number of psychedelic uses correlated with both traits. The alpha factor is obtained as a combination of agreeableness, conscientiousness and the inverse of neuroticism, and has been interpreted as a measure of social desirable traits. This factor has significantly increased in the "recreational" group but not in the "entheogen" group. The beta factor is obtained as a combination of extraversion and openness and has been interpreted as a striving for self-assertion and self-expansion. This factor was significantly increased in both the "recreational" and "entheogen" group, and also correlated positively with the reported number of psychedelic drug uses. Alternatively, the alpha and beta factors have been interpreted in terms of "stability" and "plasticity", respectively. The positive association between lifetime use of psychedelics and these personality traits suggests enhanced resilience and well-being in the light of challenging situations (Fig.). Certain considerations can be drawn in regards to the link between psychedelics and changes in personality traits. First, since some of these changes could be related to 5-HT 2A receptor expression and activation, it is hypothesized that a pharmacological interaction occurring in a sustained way could modify genetic expression and thus promote stable modifications in the personality of the users and therefore also in their behavioral patterns. In this case, a causal link could exist between the changes in personality trait and the reported number of psychedelic drug uses (Fig.). Second, this could also offer psychotherapeutic potential by external modulation of personality traits. This can be considered both an end by itself (e.g., in the case of certain disorders), or an intermediate objective if the therapeutic goal is to make the patient more flexible to work on psychopathological aspects underlying their personality style (e.g., mood disorders like depression, caused by personality disorders like avoidant personality disorder). Additionally, all the personality traits evaluated in this study (i.e., extraversion, agreableness, conscientiousness, neuroticism, openness), and their second order factors (i.e., alpha and beta) are psychological representations whose utility is to model the most stable and durable cognitive style of individuals. As a stable factor, personality bears a large part of the variance of the temporal states of mind (e.g., the clinical association between psychopathological conditions and the neuroticism trait). Likewise, these temporary states are caused by the cognitive evaluation resulting from the interaction with the environment, and influence secondary constructions that involve self-evaluation (i.e., well-being and resilience). It is therefore appropriate to propose a logical order in which the variables of this study are linked: the most stable factors (personality traits and anxiety as a trait) influence the cognitive style that is responsible for interpreting and processing reality. In turn, what is interpreted affects emotions, which can be considered as temporary cognitive states (anxiety, positive affect, negative affect). The sustained summation of these states makes up, among other things, the selfperceived processes of well-being and resilience. We must clarify certain limitations arising from methodology. First, it is not possible to corroborate the information given by the participants, especially concerning the identity and dose of the psychoactive drugs they consumed. Second, it is possible that variables outside the scope of our survey are influencing the results we obtained. Concerning this limitation, our principal component analysis aimed to alleviate the effect of confounds caused by poly-drug use by dividing the sample into disjoint groups depending on their principal component values. Finally, it was not possible to draw causal inferences due to our study design. In summary, we performed a survey to investigate the relationship between mental health, personality and past drug use during the COVID-19 pandemic. Our results do not suggest an association between past psychedelic use and impaired mental health indicators; on the contrary, we found evidence supporting a more resilient and stable personality structure in those subjects who reported repeated use of certain psychedelic compounds. This study adds to the existing literature on the relationship between mental health and lifetime psychedelic use by investigating self-reported measures of well-being during a highly challenging situation known to cause adverse psychological responses. Future studies should investigate with more detail whether our results can be attributed to the long-term changes induced by psychedelics, and how these changes relate to the available evidence concerning the potential use of psychedelics in the treatment of psychiatric disorders.

Study Details

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