Xerostomia Induced by Psychiatric Medications: Prevalence, Impact, and Management
Bibliographic record
Abstract
Introduction Xerostomia, or dry mouth caused by reduced salivary flow, is a frequently reported adverse effect of various psychiatric medications, particularly tricyclic antidepressants (TCAs), antipsychotics, SSRIs, SNRIs, and anticholinergics. This condition can lead to severe oral health problems causing many patients to discontinue their medication. Anticholinergics and psychotropic medications cause xerostomia by blocking acetylcholine from binding to muscarinic receptors in the salivary glands. Determining rates of xerostomia among psychotropic medications could be useful for those who are at higher risk of xerostomia. Objectives To investigate the prevalence and clinical impact of xerostomia caused by psychiatric medications and to identify effective management strategies. Methods A narrative literature review of clinical trials, observational studies, and case reports was performed to gather data on the prevalence, severity, and management of xerostomia in patients on psychiatric medications. The review included TCAs (amitriptyline, nortriptyline), antipsychotics (clozapine, olanzapine, chlorpromazine), SSRIs (paroxetine, fluoxetine, sertraline, citalopram), SNRIs (venlafaxine, duloxetine), and anticholinergics (benztropine, trihexyphenidyl). Patient-reported outcomes and interventions were analyzed. Results Table 1: Prevalence of Xerostomia by Medication Medication Prevalence (%) Severity (Mild/Moderate/Severe) Management Strategies Amitriptyline 30-50 Moderate to Severe Saliva Substitutes, Pilocarpine Clozapine 10-30 Mild to Moderate Dose Reduction, Hydration Paroxetine 20-40 Mild to Moderate Sugar-free Chewing Gum, Hydration Anticholinergics* 20-65 Moderate to Severe Dose Adjustment, Saliva Substitutes *Anticholinergics include benztropine and trihexyphenidyl, commonly used to manage extrapyramidal symptoms. The prevalence of xerostomia was highest with amitriptyline (30-50%), followed by paroxetine (20-40%) and clozapine (10-30%). Anticholinergics contributed to xerostomia in 20-65% of cases. Amitriptyline and anticholinergics often caused moderate to severe cases of xerostomia. Management strategies included the use of saliva substitutes and pilocarpine for TCAs and anticholinergics, dose reduction and increased hydration for antipsychotics, and sugar-free chewing gum for SSRIs. Other medications not listed that are notable for significantly inducing xerostomia among their medication class include citalopram for SSRIs, venlafaxine for SNRIs, and chlorpromazine for antipsychotics. Conclusions TCAs and anticholinergics pose the highest risk for the side effect of xerostomia among psychiatric medications. Effective management requires a multifaceted approach, including pharmacologic and non-pharmacologic interventions. Future research should aim to explore alternative medications with lower xerostomia risk. Disclosure of Interest None Declared
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".