Efficacy of combined, sequential and crossover psychotherapy and pharmacotherapy in improving outcomes in depression
Bibliographic record
Abstract
There is a growing recognition that relapse and recurrence after the successful treatment of major depression is a common and debilitating outcome that has massive social costs. Although many patients achieve a sustained recovery with maintenance pharmacotherapy, the long-term outcome for a significant proportion of patients is still poor. The purpose of this review is to evaluate the role of combined psychological and pharmacological therapies in minimizing relapse and recurrence in the treatment of depression. Three approaches have been investigated: concurrent treatment, sequential treatment and crossover treatment. Concurrent therapy is as effective as monotherapy for the treatment of mild-to-moderate depressive disorder and shows evidence of a potential treatment advantage in cases where depression is more severe. Consecutive sequencing of pharmacotherapy and psychotherapy has demonstrated some benefit for both the conversion of partial to full response and the prevention of relapse and recurrence, especially in more severely depressed patients. Crossover treatments during the maintenance phase (i.e., switching patients from one treatment to a second after an adequate response to the first) show evidence of being beneficial in preventing relapse and recurrence. Variants of cognitive therapy that have been modified to specifically address residual symptoms in patients who have recovered from depression appear to be the most effective. A review of the studies to date indicates that cognitive therapy may play a role in improving remission rates and decreasing relapse and recurrence rates. Although most studies are small, there is a consistent suggestion of superior prophylaxis for patients receiving some type of sequenced or crossover treatment in which the delivery of antidepressant medication and structured antidepressant psychotherapy is combined. These approaches warrant greater attention; they may present another route for enhancing long-term recovery from major depression.
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 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 | 0.000 |
| 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".