Managing Symptoms in Adolescent-Onset Schizophrenia: A Narrative Review of Therapeutic Interventions
Bibliographic record
Abstract
Adolescent-onset schizophrenia (AOS; onset between ages 13 and 18) represents a rare but severe subtype of schizophrenia that disrupts crucial neurodevelopmental and psychosocial milestones. Marked by prominent cognitive deficits, negative symptoms, and poor long-term outcomes, AOS poses unique diagnostic and therapeutic challenges distinct from adult-onset cases. A comprehensive search of PubMed/MEDLINE (January 2003-February 2025) and reference lists of prior reviews identified twenty-four primary studies addressing pharmacological, psychosocial, and neurobiological aspects of AOS. Synthesis of this evidence highlights atypical antipsychotics such as aripiprazole and brexpiprazole as well-tolerated first-line options for positive symptom reduction, while clozapine remains the most effective treatment for resistant AOS. High-dose olanzapine offers comparable efficacy but carries greater metabolic risk. Psychosocial approaches-including cognitive behavioral therapy (CBT) and motivational enhancement therapy (MET)-enhance adherence, insight, and functional recovery when integrated with pharmacotherapy. Converging neuroimaging and biomarker data reveal persistent neuroinflammatory and glutamatergic dysregulation, characterized by elevated interleukin-6 (IL-6), C-C motif chemokine ligand 11 (CCL11), and dorsomedial prefrontal hypoglutamatergia, suggesting immune-mediated and developmental mechanisms underlying symptom persistence. Emerging research on neuromodulation and N-methyl-D-aspartate (NMDA)-targeted strategies further broadens the therapeutic landscape. Collectively, these findings highlight the importance of early, developmentally informed, and multidisciplinary interventions tailored to adolescents. Strengthening longitudinal, biomarker-guided, and neuromodulation-inclusive studies will be critical for refining precision treatment models and informing future clinical and policy frameworks for adolescent psychosis care.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".