Accidental Methadone Poisoning in a Four-Year-Old Child Reversed With Continuous Intravenous Infusion of Naloxone
Bibliographic record
Abstract
Reported case of methadone poisoning among children is infrequent in Malaysia. Since the implementation of methadone maintenance therapy (MMT) programme by Malaysian Ministry of Health in year 2006, there are only three case reports of methadone poisoning in children. Methadone toxicity in children can be deadly if antidote and supportive measures are not instituted in time. We report a case of accidental ingestion of about 25 mg of methadone in a 4-year-old boy. The methadone syrup belonged to his father, a former intravenous drug user (IVDU), who is currently a participant of the MMT detoxification programme under the supervision of a licensed general practitioner. The child presented with typical early signs and symptoms opioid toxicity. Upon examination, vital signs were normal, but he appeared lethargic and drowsy. Venous blood gas results noted mild respiratory acidosis and complete blood count revealed leukocytosis. He was treated with continuous intravenous infusion (CIVI) naloxone 10 µg/kg/h for approximately 78 h. He was hospitalized for 6 days and discharged well. Advice should be given to family who has patient under MMT programme with take-home doses to be more cautious in storage of methadone syrup at home, and to keep the bottle far from the reach of children. Methadone poisoning in children can be deadly and early administration of naloxone as CIVI can effectively reverse its toxicity. Int J Clin Pediatr. 2021;10(1):18-23 doi: https://doi.org/10.14740/ijcp386
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".