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Record W4387339944 · doi:10.2147/rrn.s419864

Antenatal Kratom Exposure: Literature Review and Clinical Management Recommendations

2023· article· en· W4387339944 on OpenAlexaff
Alice Ordean

Bibliographic record

VenueResearch and Reports in Neonatology · 2023
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicAlkaloids: synthesis and pharmacology
Canadian institutionsSt Joseph's Health CentreUniversity of Toronto
Fundersnot available
KeywordsBuprenorphineMedicineAbstinencePregnancyOpioid use disorderStimulantAnxietyOpioidMoodPostpartum periodPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

Abstract: In recent years, there has been a rapid interest in using kratom for the self-management of various chronic pain, anxiety and mood conditions, as well as, for the management of opioid withdrawal symptoms. The two main kratom alkaloids have stimulant and opioid-like effects that cause concerns during pregnancy. A literature review was conducted, and ten case reports relating to maternal kratom use were included consisting of 12 mother-infant dyads. Case reports indicated that regular use of kratom was associated with the presence of maternal kratom dependence and withdrawal. The route and amount of kratom use reported was highly variable. The majority of women were only identified in the postpartum period after infants displayed symptoms and signs of neonatal withdrawal. Management of maternal kratom use varied and included either opioid agonist treatment with buprenorphine or morphine or detoxification. Most of the exposed infants were described to develop neonatal abstinence syndrome and more than half required pharmacological treatment with morphine. All neonates were discharged home in the care of their mothers. Clinicians should be aware of the possible clinical effects of perinatal kratom exposure and be able to implement appropriate maternal and neonatal management strategies. Keywords: Mitragyna , pregnancy, opioids, neonatal abstinence syndrome, opioid agonist treatment

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.567
Threshold uncertainty score0.832

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.232
GPT teacher head0.571
Teacher spread0.338 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueResearch and Reports in NeonatologySame topicAlkaloids: synthesis and pharmacologyFrench-language works237,207