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Record W4389440324 · doi:10.3389/fpsyt.2023.1273587

Long-term detoxification of opioid use disorder with opium tincture assisted treatment

2023· article· en· W4389440324 on OpenAlexaff
Sahar Omidvar-Tehrani, Amir Rezaeı Ardanı, Saeed Akhlaghi, Masood Shayesteh Zarrin, Ali Talaeı

Bibliographic record

VenueFrontiers in Psychiatry · 2023
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsWestern University
FundersMashhad University of Medical Sciences
KeywordsOpiumBeck Depression InventoryCravingMedicineAnxietyPsychiatryDetoxification (alternative medicine)Pittsburgh Sleep Quality IndexQuality of life (healthcare)Depression (economics)Beck Anxiety InventoryAddictionSuicidal ideationPsychologyInsomniaPoison controlAlternative medicineInjury preventionSleep quality

Abstract

fetched live from OpenAlex

Introduction: Retention in treatment, craving, and relapse rate are important indicators of the success rate in addiction maintenance therapy as they evaluate the effectiveness of the therapy and make necessary adjustments to the treatment plan. However, the rate of continuation in the treatment process and the rate of craving in patients with opioid use disorder undergoing maintenance treatment with opium tincture have not been studied. The present study aimed to investigate the rate of relapse, craving, and psychiatric disorders in patients with opioid use disorder undergoing treatment of gradual detoxification with opium tincture. Methods: Ninety patients with opioid use disorder who underwent treatment with the gradual detoxification method using opium tincture in the form of Congress 60 for 11 months were enrolled in the study. The level of craving based on the Desire for Drug Questionnaire (DDQ) and patients' self-report of drug use, the level of anxiety, depression, and sleep quality of patients were evaluated using the Beck Anxiety Inventory (BAI), Beck Depression Inventory (BDI), and Pittsburgh Sleep Quality Index (PSQI), respectively. Also, suicidal thoughts were assessed by Beck Scale for Suicidal Ideation and quality of life by the World Health Organization Quality of Life Questionnaire (WHOQOL-BREF). Results: The study found that the treatment resulted in a relapse rate of 16.7% for relapse. We also found that all sub-scales of the desire for drug questionnaire (DDQ), depression, and anxiety were significantly lower at the end of the study compared to its beginning. Additionally, quality of life and sleep significantly increased at the end of the study. All areas of craving, anxiety, and depression significantly decreased in all follow-up sessions that took place 1, 5, and 11 months after the start of treatment. Moreover, sleep disorders were improved considerably at the end of the treatment. Conclusion: The current study presented a low relapse rate of Iranian patients with opioid use disorder under structured treatment of gradual detoxification with opium tincture in a one-year follow-up period. Opium tincture under the Congress 60 protocol may help to control carving, decrease psychological disorders, improve quality of life, and consequently, lower relapse rate.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.013
GPT teacher head0.270
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2023
Admission routes1
Has abstractyes

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