Exploring the Perceptions of Indian Mental Health Professionals Regarding Areca (Betel) Nut Products: A Cross-sectional Study
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Bibliographic record
Abstract
Background: Areca nut (AN) and AN products (ANPs) are commonly used as psychoactive substances with marked dependence potential. Scant information exists on the Indian mental health professionals' (MHPs) knowledge of AN-ANPs, attitude toward AN-ANP use/users, and behavior regarding their clients' AN-ANP use. To address this gap, a survey was undertaken to assess MHPs' knowledge, attitudes, and behavioral responses toward AN-ANP use and addiction. Methods: We developed a pretested, customized questionnaire and conducted a cross-sectional online survey among a random sample of MHPs. Results: The 209 respondents included 91 psychiatrists, 105 clinical psychologists, and 13 other MHPs from diverse settings. Among them, 46.89% believed that AN-ANP use does not fit the definition of abuse/addiction as per the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition or International Classification of Diseases 10th Revision (ICD-10)/ICD-11. Among the psychiatrists, clinical psychologists, and other MHPs, 60.4%, 48.6%, and 61.5% were unaware of any AN-ANP cessation protocols. The addictive potential of AN-ANP with tobacco was rated as severe by 68.1% of psychiatrists and 51.4% of clinical psychologists; 46.2% of other MHPs rated it as moderate. The addictive potential of AN-ANP without tobacco was rated as moderate by 50.5% of clinical psychologists and mild by 46.2% of psychiatrists. Of the sample, 67.46% discussed the harmful effects of AN-ANPs with clients, while 74.6% said a few or none of their clients sought help for AN-ANP cessation. Conclusion: Major lacunae were detected in the understanding of Indian MHPs about the addictive potential of AN-ANPs, management aspects, etc. An urgent need has been revealed for sensitization programs on AN-ANPs and the development of evidence-based cessation protocols.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it