Natural Language Processing to Identify Substance Use in Electronic Health Records: A Scoping Review.

Azubuike CD, Farrag A, Zandbiglari K, Soliman A, Bagchi C, Mehrabi F, Adkins LE, Rouhizadeh M, Goodin A

DOI: 10.1177/29767342261463377
Published: 2026 Oct
Container: Substance use & addiction journal
Publisher: Not recorded
Open access: unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1177/29767342261463377,
  title = {Natural Language Processing to Identify Substance Use in Electronic Health Records: A Scoping Review.},
  author = {Azubuike CD and Farrag A and Zandbiglari K and Soliman A and Bagchi C and Mehrabi F and Adkins LE and Rouhizadeh M and Goodin A},
  year = {2026},
  journal = {Substance use \& addiction journal},
  doi = {10.1177/29767342261463377},
  url = {https://doi.org/10.1177/29767342261463377}
}

RIS

TY  - JOUR
TI  - Natural Language Processing to Identify Substance Use in Electronic Health Records: A Scoping Review.
AU  - Azubuike CD
AU  - Farrag A
AU  - Zandbiglari K
AU  - Soliman A
AU  - Bagchi C
AU  - Mehrabi F
AU  - Adkins LE
AU  - Rouhizadeh M
AU  - Goodin A
PY  - 2026
JO  - Substance use & addiction journal
DO  - 10.1177/29767342261463377
UR  - https://doi.org/10.1177/29767342261463377
ER  -

APA

CD, A., A, F., K, Z., A, S., C, B., F, M., LE, A., M, R., & A, G. (2026). Natural Language Processing to Identify Substance Use in Electronic Health Records: A Scoping Review.. Substance use & addiction journal. https://doi.org/10.1177/29767342261463377

Source records

pubmed · retrieved 2026-09-25T10:31:29.664Z