Abrus precatorius is an ornamental plant that belongs to the Leguminoceae family. It contains toxalbumin, named abrin, in all of its parts. However, the seeds are more toxic when consumed in crushed form. Deaths due to abrus seed poisoning are rare. We are reporting a case of suicidal ingestion of crushed abrus precatorius seeds by a 37-year-old female. She presented to the hospital with complaints of multiple episodes of vomiting and diarrhea. She was resuscitated with fluid boluses, followed by a stomach wash and activated charcoal, and referred to our tertiary hospital, where she presented with giddiness, abdominal pain, bloody diarrhea, and epigastric tenderness. On subsequent days, she developed altered sensorium, renal failure, and electrolyte imbalance. She was managed conservatively. Blood investigation revealed elevated leucocyte count, increased urea and creatinine levels, and elevated liver enzymes. She died five days after ingesting the seeds. On autopsy examination, the brain and lungs were congested and edematous. The peritoneal cavity contained around 500mL of straw-colored fluid. Petechial hemorrhages were present over the lungs, heart, and liver surfaces. The mucosa of the gastrointestinal tract was hemorrhagic, the liver showed steatosis, and the kidneys showed congestion and obscuration of the corticomedullary junction. Histopathologically, the lungs showed mild congestion with alveolar edema, the liver showed necrosis with steatosis, and the kidney showed acute tubular necrosis. The toxicology screening was positive for abrin. This case highlights not only the rare fatality following abrus precatorius poisoning but also the toxic nature of this plant.

BACKGROUND: The war in Syria has displaced over 6.8 million people, more than any other conflict since the Second World War. As a result, Syrian asylum seekers and refugees have experienced several life-changing events, resulting in high rates of anxiety, depression, posttraumatic stress disorder, and suicidal ideation (SI). To address the treatment gap and reduce the burden of help-seeking, a web-based intervention to reduce SI developed for general populations was culturally adapted for and with Syrian asylum seekers and refugees in the United Kingdom. The study revealed the importance of understanding their lived experience with migration and the acculturative process in providing treatment for SI. This study will now assess the feasibility and acceptability of the culturally adapted intervention for this population.
OBJECTIVE: The first phase of the study will include recruiting participants and delivering the web-based intervention (1) to assess the feasibility of meeting recruitment goals and recruitment rates and (2) to assess the feasibility of outcome measures. The second phase of the study will include one-to-one semistructured interviews (1) to assess the suitability of the culturally adapted intervention in terms of recruitment and adherence rates and barriers and facilitators to engagement and (2) to assess the acceptability of the intervention in terms of its cultural relevance and appropriateness.
METHODS: This is a protocol for a single-group, noncontrolled, mixed methods feasibility and acceptability study of a culturally adapted web-based intervention to reduce SI for Syrian asylum seekers and refugees in the United Kingdom. The study will assess the feasibility of recruitment goals, recruitment rates, adherence rates, and outcome measures using individual participant tracking forms, which will be analyzed quantitatively. The suitability and acceptability of the intervention will be assessed using one-to-one semistructured interviews with 12 participants who completed the intervention, which will be analyzed qualitatively.
RESULTS: Recruitment began in February 2024 and will run until 30 participants are recruited to the study or until the end of July 2024. Thus far, 19 participants have provided informed consent, 16 were eligible and enrolled, and 12 have completed a postintervention interview. No data have been analyzed. The study, including the write-up period, is expected to end in December 2024.
CONCLUSIONS: Despite experiencing several stressors related to forced displacement and high rates of mental health issues, access to treatment is still limited for Syrian asylum seekers and refugees in the United Kingdom. To address the treatment gap and reduce the burden of help-seeking, a web-based intervention to reduce SI was culturally adapted in collaboration with Syrian asylum seekers and refugees in the United Kingdom. This study will now assess the feasibility and acceptability of the intervention and culturally appropriate recruitment strategies.
BACKGROUND: ISRCTN ISRCTN11417025; https://www.isrctn.com/ISRCTN11417025.
UNASSIGNED: PRR1-10.2196/56957.

BACKGROUND: Self-injurious thoughts and behaviors (SITBs) are increasing dramatically among children and adolescents. Crisis support is intended to provide immediate mental health care, risk mitigation, and intervention for those experiencing SITBs and acute mental health distress. Digital mental health interventions (DMHIs) have emerged as accessible and effective alternatives to in-person care; however, most do not provide crisis support or ongoing care for children and adolescents with SITBs.
OBJECTIVE: To inform the development of digital crisis support and mental health care for children and adolescents presenting with SITBs, this study aims to (1) characterize children and adolescents with SITBs who participate in a digital crisis response service, (2) compare anxiety and depressive symptoms of children and adolescents presenting with SITBs versus those without SITBs throughout care, and (3) suggest future steps for the implementation of digital crisis support and mental health care for children and adolescents presenting with SITBs.
METHODS: This retrospective study was conducted using data from children and adolescents (aged 1-17 y; N=2161) involved in a pediatric collaborative care DMHI. SITB prevalence was assessed during each live session. For children and adolescents who exhibited SITBs during live sessions, a rapid crisis support team provided evidence-based crisis support services. Assessments were completed approximately once a month to measure anxiety and depressive symptom severity. Demographics, mental health symptoms, and change in the mental health symptoms of children and adolescents presenting with SITBs (group with SITBs) were compared to those of children and adolescents with no SITBs (group without SITBs).
RESULTS: Compared to the group without SITBs (1977/2161, 91.49%), the group with SITBs (184/2161, 8.51%) was mostly made up of adolescents (107/184, 58.2%) and female children and adolescents (118/184, 64.1%). At baseline, compared to the group without SITBs, the group with SITBs had more severe anxiety and depressive symptoms. From before to after mental health care with the DMHI, the 2 groups did not differ in the rate of children and adolescents with anxiety symptom improvement (group with SITBs: 54/70, 77% vs group without SITBs: 367/440, 83.4%; χ21=1.2; P=.32) as well as depressive symptom improvement (group with SITBs: 58/72, 81% vs group without SITBs: 255/313, 81.5%; χ21=0; P=.99). The 2 groups also did not differ in the amount of change in symptom severity during care with the DMHI for anxiety (t80.20=1.37; P=.28) and depressive (t83.75=-0.08; P=.99) symptoms.
CONCLUSIONS: This study demonstrates that participation in a collaborative care DMHI is associated with improved mental health outcomes in children and adolescents experiencing SITBs. These results provide preliminary insights for the use of pediatric DMHIs in crisis support and mental health care for children and adolescents presenting with SITBs, thereby addressing the public health issue of acute mental health crisis in children and adolescents.

UNASSIGNED: There are limited data regarding gamma-aminobutyric acid (GABA) allosteric modulator sleep-aid medications in persons with depression, insomnia, and suicidal ideation (SI).
UNASSIGNED: This secondary analysis examined the relationship of age to insomnia and the impact of age on the treatment of insomnia with zolpidem extended-release (zolpidem-ER) in depressed suicidal patients. A prior report found that the addition of zolpidem-ER promoted significantly superior reductions in global severity of insomnia in depressed outpatients with insomnia and SI over 8 weeks, but here we report the differences among early, middle, and late insomnia.
UNASSIGNED: This secondary analysis examined the three early, middle, and late insomnia items of the Hamilton Rating Scale for Depression (HRSD) and their relationship to age and responsiveness to treatment with zolpidem-ER. One hundred and three patients with major depression, SI, and insomnia received open-label serotonin reuptake inhibitors and were randomly allocated 1:1 to receive zolpidem-ER or placebo at bedtime. Results: Older age at baseline was associated with worse middle and late insomnia, but not with early insomnia. Subsequent treatment with zolpidem-ER produced superior improvement in early and middle insomnia, but not late insomnia.
UNASSIGNED: These findings are consistent with the known age-related advancement of sleep timing in the general population and depressed outpatients and with the expected effects of a short half-life GABA allosteric modulator sleep aid. By implication, prescribers of pharmacologic treatment of insomnia in depressed patients should consider an alternative to zolpidem-ER when late insomnia is a concern.Trial registration number: ClinicalTrials.gov Identifier: NCT01689909.

BACKGROUND: Suicide is a leading cause of death worldwide. Journalistic reporting guidelines were created to curb the impact of unsafe reporting; however, how suicide is framed in news reports may differ by important characteristics such as the circumstances and the decedent\'s gender.
OBJECTIVE: This study aimed to examine the degree to which news media reports of suicides are framed using stigmatized or glorified language and differences in such framing by gender and circumstance of suicide.
METHODS: We analyzed 200 news articles regarding suicides and applied the validated Stigma of Suicide Scale to identify stigmatized and glorified language. We assessed linguistic similarity with 2 widely used metrics, cosine similarity and mutual information scores, using a machine learning-based large language model.
RESULTS: News reports of male suicides were framed more similarly to stigmatizing (P<.001) and glorifying (P=.005) language than reports of female suicides. Considering the circumstances of suicide, mutual information scores indicated that differences in the use of stigmatizing or glorifying language by gender were most pronounced for articles attributing legal (0.155), relationship (0.268), or mental health problems (0.251) as the cause.
CONCLUSIONS: Linguistic differences, by gender, in stigmatizing or glorifying language when reporting suicide may exacerbate suicide disparities.

BACKGROUND: Due to recent advances in artificial intelligence, large language models (LLMs) have emerged as a powerful tool for a variety of language-related tasks, including sentiment analysis, and summarization of provider-patient interactions. However, there is limited research on these models in the area of crisis prediction.
OBJECTIVE: This study aimed to evaluate the performance of LLMs, specifically OpenAI\'s generative pretrained transformer 4 (GPT-4), in predicting current and future mental health crisis episodes using patient-provided information at intake among users of a national telemental health platform.
METHODS: Deidentified patient-provided data were pulled from specific intake questions of the Brightside telehealth platform, including the chief complaint, for 140 patients who indicated suicidal ideation (SI), and another 120 patients who later indicated SI with a plan during the course of treatment. Similar data were pulled for 200 randomly selected patients, treated during the same time period, who never endorsed SI. In total, 6 senior Brightside clinicians (3 psychologists and 3 psychiatrists) were shown patients\' self-reported chief complaint and self-reported suicide attempt history but were blinded to the future course of treatment and other reported symptoms, including SI. They were asked a simple yes or no question regarding their prediction of endorsement of SI with plan, along with their confidence level about the prediction. GPT-4 was provided with similar information and asked to answer the same questions, enabling us to directly compare the performance of artificial intelligence and clinicians.
RESULTS: Overall, the clinicians\' average precision (0.7) was higher than that of GPT-4 (0.6) in identifying the SI with plan at intake (n=140) versus no SI (n=200) when using the chief complaint alone, while sensitivity was higher for the GPT-4 (0.62) than the clinicians\' average (0.53). The addition of suicide attempt history increased the clinicians\' average sensitivity (0.59) and precision (0.77) while increasing the GPT-4 sensitivity (0.59) but decreasing the GPT-4 precision (0.54). Performance decreased comparatively when predicting future SI with plan (n=120) versus no SI (n=200) with a chief complaint only for the clinicians (average sensitivity=0.4; average precision=0.59) and the GPT-4 (sensitivity=0.46; precision=0.48). The addition of suicide attempt history increased performance comparatively for the clinicians (average sensitivity=0.46; average precision=0.69) and the GPT-4 (sensitivity=0.74; precision=0.48).
CONCLUSIONS: GPT-4, with a simple prompt design, produced results on some metrics that approached those of a trained clinician. Additional work must be done before such a model can be piloted in a clinical setting. The model should undergo safety checks for bias, given evidence that LLMs can perpetuate the biases of the underlying data on which they are trained. We believe that LLMs hold promise for augmenting the identification of higher-risk patients at intake and potentially delivering more timely care to patients.

BACKGROUND: In an age when telehealth services are increasingly being used for forward triage, there is a need for accurate suicide risk detection. Vocal characteristics analyzed using artificial intelligence are now proving capable of detecting suicide risk with accuracies superior to traditional survey-based approaches, suggesting an efficient and economical approach to ensuring ongoing patient safety.
OBJECTIVE: This systematic review aimed to identify which vocal characteristics perform best at differentiating between patients with an elevated risk of suicide in comparison with other cohorts and identify the methodological specifications of the systems used to derive each feature and the accuracies of classification that result.
METHODS: A search of MEDLINE via Ovid, Scopus, Computers and Applied Science Complete, CADTH, Web of Science, ProQuest Dissertations and Theses A&I, Australian Policy Online, and Mednar was conducted between 1995 and 2020 and updated in 2021. The inclusion criteria were human participants with no language, age, or setting restrictions applied; randomized controlled studies, observational cohort studies, and theses; studies that used some measure of vocal quality; and individuals assessed as being at high risk of suicide compared with other individuals at lower risk using a validated measure of suicide risk. Risk of bias was assessed using the Risk of Bias in Non-randomized Studies tool. A random-effects model meta-analysis was used wherever mean measures of vocal quality were reported.
RESULTS: The search yielded 1074 unique citations, of which 30 (2.79%) were screened via full text. A total of 21 studies involving 1734 participants met all inclusion criteria. Most studies (15/21, 71%) sourced participants via either the Vanderbilt II database of recordings (8/21, 38%) or the Silverman and Silverman perceptual study recording database (7/21, 33%). Candidate vocal characteristics that performed best at differentiating between high risk of suicide and comparison cohorts included timing patterns of speech (median accuracy 95%), power spectral density sub-bands (median accuracy 90.3%), and mel-frequency cepstral coefficients (median accuracy 80%). A random-effects meta-analysis was used to compare 22 characteristics nested within 14% (3/21) of the studies, which demonstrated significant standardized mean differences for frequencies within the first and second formants (standardized mean difference ranged between -1.07 and -2.56) and jitter values (standardized mean difference=1.47). In 43% (9/21) of the studies, risk of bias was assessed as moderate, whereas in the remaining studies (12/21, 57%), the risk of bias was assessed as high.
CONCLUSIONS: Although several key methodological issues prevailed among the studies reviewed, there is promise in the use of vocal characteristics to detect elevations in suicide risk, particularly in novel settings such as telehealth or conversational agents.
BACKGROUND: PROSPERO International Prospective Register of Systematic Reviews CRD420200167413; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020167413.

OBJECTIVE: To analyse the related influencing factors of adolescent major depressive disorder (MDD) with suicidal and self-injurious behaviour (SSIB).
METHODS: A total of 299 adolescents with MDD who were admitted to the psychiatric department of the hospital between February 2022 and July 2023 were selected using the convenience sampling method. The participants were divided into the SSIB group (n = 110) and the non-SSIB group (n = 189) according to whether SSIB was present, and related indicators were collected and compared.
RESULTS: The patients\' ages at the time of their first SSIB ranged from 10 to 18 years old, with a mean age of 13.30 ± 1.74 years. The most commonly injured parts were the lower arm and wrist (42.13%), and the most common injury was cutting, accounting for 40.00% of the total patients. The most common type of self-injury differed by sex (X2 = 17.798, P = 0.006); for men, hitting was the most common, and for women, cutting was the most common. In 51.41% of the patients, the period between the initial thought and the actual committing of the SSIB was less than 5 minutes. The scores of the Eysenck Personality Questionnaire, the Barratt Impulsivity Scale, the Buss-Perry Aggression Questionnaire, the Symptom Checklist-90 (all P < 0.001), and the health-risk behaviour scale (67.47 ± 12.59 vs. 41.58 ± 11.36, t = 9.587, P < 0.001) were significantly increased in the SSIB group compared with the non-SSIB group. In addition, the total score of quality of life (QOL) (11.36 ± 4.32 vs. 16.43 ± 5.64, t = 5.496, P < 0.001) was decreased in the SSIB group compared with the non-SSIB group.
CONCLUSIONS: The SSIB of adolescent patients with MDD is related to various factors, including impulsiveness, aggressiveness, personality traits, QOL, and mental health level.

UNASSIGNED: There is growing concern around the use of sodium nitrite (SN) as an emerging means of suicide, particularly among younger people. Given the limited information on the topic from traditional public health surveillance sources, we studied posts made to an online suicide discussion forum, \"Sanctioned Suicide,\" which is a primary source of information on the use and procurement of SN.
UNASSIGNED: This study aims to determine the trends in SN purchase and use, as obtained via data mining from subscriber posts on the forum. We also aim to determine the substances and topics commonly co-occurring with SN, as well as the geographical distribution of users and sources of SN.
UNASSIGNED: We collected all publicly available from the site\'s inception in March 2018 to October 2022. Using data-driven methods, including natural language processing and machine learning, we analyzed the trends in SN mentions over time, including the locations of SN consumers and the sources from which SN is procured. We developed a transformer-based source and location classifier to determine the geographical distribution of the sources of SN.
UNASSIGNED: Posts pertaining to SN show a rise in popularity, and there were statistically significant correlations between real-life use of SN and suicidal intent when compared to data from the Centers for Disease Control and Prevention (CDC) Wide-Ranging Online Data for Epidemiologic Research (⍴=0.727; P<.001) and the National Poison Data System (⍴=0.866; P=.001). We observed frequent co-mentions of antiemetics, benzodiazepines, and acid regulators with SN. Our proposed machine learning-based source and location classifier can detect potential sources of SN with an accuracy of 72.92% and showed consumption in the United States and elsewhere.
UNASSIGNED: Vital information about SN and other emerging mechanisms of suicide can be obtained from online forums.

UNASSIGNED: This study aimed to evaluate oxidative stress parameters in individuals with depression and schizophrenia, considering gender differences, and manifesting suicidal behavior, encompassing thoughts without a tendency to be realized, thoughts with a tendency to be realized, and suicide attempts.
UNASSIGNED: From among the patients from Department of Psychiatry 120 individuals were selected who met the inclusion criteria and did not meet the exclusion criteria for the study. In the initial phase of the project, patients eligible for the study underwent the M.I.N.I 7.0.2 questionnaire (Mini International Neuropsychiatric Interview). Subsequently, in the second phase of the research, venous blood samples were collected from the patients for the purpose of conducting biochemical assessments, focusing on oxidative stress parameters.
UNASSIGNED: The obtained results suggest that redox biomarkers, namely TOS (total oxidation state) and OSI (TOS/TAC ratio), in the blood plasma of women increase in tandem with the severity of suicidal behavior. No notable alterations in SOD (Cu-Zn-superoxide dismutase), GPx (glutathione peroxidase), and GSH (reduced glutathione) concentrations and activity were noted between groups exhibiting suicidal behavior. The observed variations in the concentrations and activity of antioxidant parameters were significant solely in comparison to the control group.
UNASSIGNED: Redox biomarkers TOS and OSI could prove valuable in diagnosing women at a genuine risk of committing suicide. On the other hand, antioxidant parameters - SOD, GPx, and GSH may be instrumental in identifying patients with suicidal behaviors, without specifying their intensity.