Velopharyngeal dysfunction from intranasal substance abuse: Case series and review of literature
Bibliographic record
Abstract
OBJECTIVE: Intranasal substance abuse with cocaine or opioids can result in complications involving the midline nasal and oral structures. When the defect involves the velopharyngeal musculature, this leads to velopharyngeal dysfunction (VPD). This article aims to illustrate this clinical entity through a series of four patients and a review of the literature. METHODS: A series of four cases of VPD due to intranasal narcotic use and their management are discussed. A comprehensive search in PubMed was conducted for cases of VPD associated with intranasal drug use in the English-language literature. RESULTS: Four female patients presented with symptoms of VPD, including worsening nasal regurgitation, poor speech intelligibility, and hypernasal speech. One patient presented with nasopharyngeal stenosis. All patients admitted to intranasal cocaine, methamphetamine, and/or prescription narcotics use prior to the onset of symptoms. The diagnosis was confirmed with abnormal velopharyngeal musculature seen on nasopharyngoscopy. Both conservative and surgical treatment options were proposed. A literature review identified nine cases of VPD. Erosion of the velum was seen in all cases. Reported treatments included obturator prosthetic, local flap, and free flap. Ancillary investigations were not consistently pursued to rule out other etiologies to VPD. CONCLUSION: Intranasal illicit drug use can result in destructive changes leading to VPD. This is the largest case series to date of this difficult clinical problem. Management principles including options for conservative and surgical interventions are summarized. LEVEL OF EVIDENCE: 4 Laryngoscope, 128:2721-2725, 2018.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".