Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Aripiprazole as Augmentation for TRD

State University of New York - Upstate Medical University · 2004
ClinicalTrials.gov · Datasets · License: Public Domain · 2004
Open Source ↗
depression
A sizeable minority of patients suffering from major depression do not have their full set of depressive symptoms relieved by a single medication. Often times, a second medication is added to a patient's first antidepressant to obtain a better response in hopes of getting the depressed patient into full remission from symptoms. A typical psychiatric approach of recent has been to add one of the newer anti-schizophrenia medications to an existing FDA approved antidepressant in order to achieve better serotonin levels in the depressed patient's brain. This optimization of brain serotonin helps to alleviate more depressive symptoms. The newest antipsychotic medication to be FDA approved is Aripiprazole (Abilify). It may be particularly effective as it may safely elevate sertotonin through receptor 1a stimulation, receptor 2a blockade. It may also facilitate low levels of dopamine transmission which is truly novel for this agent when compared to other schizophrenia drugs. Depressed patients also tend to lack dopamine in their brains. This makes Aripiprazole and ideal agent to boost both serotonin and dopamine simultaneously. In theory, this may be an effective way to alleviate more depressive symptoms. The author suggests to enroll 10 subjects initially in open label fashion to take Aripiprazole plus their current FDA approved antidepressant to see if further elimination of depressive symptoms occurs and to show this pharmacological approach as a tolerable combination of medications. If there are no major safety issues, an amendment to allow 10 additional subjects will be forwarded to provide a better tolerability sample size.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 807363
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive