| Literature DB >> 34291179 |
C J Healy1, Kellie Ann Lee1, Wendy D'Andrea1.
Abstract
BACKGROUND: Child maltreatment negatively affects the formation of internal schemata of self and other during development, leading to negative adaptations in self-concept and social cognition. Clinical reports suggest the efficacy of psychedelics in treating the psychopathological sequelae of child maltreatment. Altering maladaptive schemata of self and other implicated in negative self-concept and impaired social cognition may be a central mechanism for reducing posttraumatic stress symptoms. AIMS: This study aims to assess whether psychedelic use moderates the relationships between child maltreatment and self-concept, social cognition, and posttraumatic stress symptoms.Entities:
Keywords: child maltreatment; childhood trauma; complex trauma; developmental trauma; emotion recognition; psychedelic-assisted psychotherapy; psychedelics; shame
Year: 2021 PMID: 34291179 PMCID: PMC8278461 DOI: 10.1177/24705470211029881
Source DB: PubMed Journal: Chronic Stress (Thousand Oaks) ISSN: 2470-5470
Demographic Characteristics (N = 166).
| Demographics | n (%) |
|---|---|
| Age in years, mean (SD) | 30.49 (9.52) |
| Identifies with sex assigned at birth | |
| Yes | 150 (90.4%) |
| No | 16 (9.6%) |
| Gender identity | |
| Woman | 100 (61.0%) |
| Man | 45 (27.1%) |
| Genderqueer/genderfluid | 5 (3.0%) |
| Non-binary | 9 (5.4%) |
| Other | 5 (3.0%) |
| Racial, ethnic, or cultural background† | |
| American Indian | 8 (4.8%) |
| White or Caucasian | 150 (90.4%) |
| Asian | 3 (1.8%) |
| Hispanic or Latino | 18 (10.8%) |
| Pacific Islander | 1 (0.6%) |
| African American | 1 (0.6%) |
| Black, Non American | 2 (1.2%) |
| Indian (from India) | 2 (1.2%) |
| Arab American | 4 (2.4%) |
| Mixed race | 1 (1.2%) |
| Sexual orientation | |
| Heterosexual | 83 (50.0%) |
| Gay | 6 (3.6%) |
| Lesbian | 2 (1.2%) |
| Bisexual | 47 (28.3%) |
| Queer | 9 (5.4%) |
| Questioning | 5 (3.0%) |
| Pansexual | 7 (4.2%) |
| Other | 6 (3.6%) |
| Marital status | |
| Single, never married | 73 (44.0%) |
| Married | 42 (25.3%) |
| Committed partner | 25 (15.1%) |
| Separated | 3 (1.8%) |
| Divorced | 8 (4.8%) |
| Widowed | 2 (1.2%) |
| Living together | 13 (7.8%) |
| Socioeconomic status of childhood home | |
| Lower ($24,999 or less) | 28 (16.9%) |
| Lower middle ($25,000-$49,999) | 36 (21.7%) |
| Middle ($50,000-$74,999) | 50 (31.1%) |
| Upper middle ($75,000-$1,49,999) | 41 (24.7%) |
| Upper ($1,50,000 or greater) | 6 (3.6%) |
| Highest level of education completed | |
| Less than high school/GED | 7 (4.2%) |
| High school/GED | 18 (10.8%) |
| Some college | 43 (25.9%) |
| Associate’s degree | (5.4%) |
| Bachelor’s degree | 64 (38.6%) |
| Master’s degree | 18 (10.8%) |
| Doctorate degree | 5 (3.0%) |
| Other | 1 (0.6%) |
| Student status | |
| Not currently a student | 115 (69.3%) |
| Currently a student | 51 (30.7%) |
| If currently a student, level of education currently pursuing | |
| Pursuing a GED | 2 (1.2%) |
| Pursuing an associate’s degree | 3 (1.8%) |
| Pursuing a bachelor’s degree | 26 (15.7%) |
| Pursuing a master’s degree | 22 (13.3%) |
| Pursuing a doctoral degree | 6 (3.6%) |
| Psychiatric diagnoses† | |
| Depression | 137 (82.5%) |
| Bipolar/manic depressive illness | 17 (10.2%) |
| Anxiety | 141 (84.9%) |
| Schizophrenia | 2 (1.2%) |
| Substance abuse | 37 (22.3%) |
| Eating disorder | 30 (18.1%) |
| Attention deficit disorder | 40 (24.1%) |
| Anger problems | 18 (10.8%) |
| Other mental illness | 41 (24.7%) |
| None | 9 (5.4%) |
| Lifetime substance use history† | |
| Alcohol | 148 (89.2%) |
| Tobacco | 90 (54.2%) |
| Caffeine | 151 (91.0%) |
| Cannabis | 125 (75.3%) |
| Hallucinogens | 73 (44.0%) |
| Inhalants | 31 (18.7%) |
| Opioids | 44 (26.5%) |
| Sedatives, hypnotics, or anxiolytics | 51 (30.7%) |
| None of the above | 0 (0.0%) |
| History of intentional therapeutic psychedelic use (ITPU) | |
| Yes | 52 (31.3%) |
| No | 114 (68.7%) |
GED: General Educational Development (equivalent to US high school diploma).
†Participants could select multiple responses for this question.
Characteristics of ITPU Experiences (N = 52).
| ITPU variables | n (%) |
|---|---|
| Substances used† | |
| Psilocybin / mushrooms | 35 (67.3%) |
| LSD | 29 (55.8%) |
| Ayahuasca / yagé | 5 (9.6%) |
| Mescaline / peyote / San Pedro | 4 (7.7%) |
| DMT (extracted) | 11 (21.2%) |
| MDMA / ecstasy | 22 (42.3%) |
| Ketamine | 11 (21.2%) |
| 2C-B | 2 (3.8%) |
| Other | 1 (1.9%) |
| Number of ITPU occasions | |
| 1 | 8 (15.4%) |
| 2–5 | 23 (44.2%) |
| 5+ | 21 (40.4%) |
| Most recent ITPU occasion | |
| Within the past month | 21 (40.4%) |
| 1–6 months ago | 17 (32.7%) |
| 6 months–2 years ago | 10 (19.2%) |
| 2–5 years ago | 2 (3.8%) |
| 5+ years ago | 2 (3.8%) |
| Settings of ITPU†,‡ | |
| At home | 44 (84.6%) |
| At a party | 4 (7.7%) |
| In a public space (e.g. mall, movie theatre) | 4 (7.7%) |
| At a concert/festival/rave | 8 (15.4%) |
| In nature | 26 (50.0%) |
| In a religious/spiritual setting | 5 (9.6%) |
| Other | 3 (5.8%) |
| Impact of ITPU | |
| Healing / helpful / positive change | 39 (75.0%) |
| Harmful / damaging / negative change | 1 (1.9%) |
| Both healing and harmful | 8 (15.4%) |
| No change | 4 (7.7%) |
LSD: lysergic acid diethylamide; DMT: N,N-dimethyltryptamine; MDMA: 3,4-methylenedioxy-methamphetamine; 2 C-B: 2,5-dimethoxy-4-bromophenethylamine.
†Multiple responses could be selected for this question.
‡These response choices are drawn from Garcia-Romeu et al.
Matrix of Correlations Between CTQ Subscale Scores and ITQ PTSD Scores, ITQ DSO Scores, and ISS Scores.
| CTQ subscale variable | PTSD | DSO | ISS |
|---|---|---|---|
| Emotional abuse | .18* | .28*** | .26*** |
| Emotional neglect | .05 | .25*** | .25*** |
| Physical abuse | .17* | −.02 | .01 |
| Physical neglect | .16* | .19* | .18* |
| Sexual abuse | .23** | .03 | −.03 |
*Correlation is significant at the .05 level (2-tailed).
**Correlation is significant at the .01 level (2-tailed).
***Correlation is significant at the .001 level (2-tailed).
Figure 1.The differences in mean DSO scores (a) and mean ISS scores (b) between ITPU5 and non-ITPU5 groups.
Figure 2.The moderating effect of ITPU5 on the relationship between EAN scores and DSO scores.