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Switching to a new type of antidepressant may help reverse any weight gain you’ve experienced during treatment. Research shows that approximately one-third of people with depression have ...
Switching From Zoloft to Prozac: Final Thoughts. Thinking about swapping out your current medication for a new antidepressant is a big decision — but you don’t have to do it alone. With the ...
Tricyclic antidepressants (TCAs). An older type of antidepressant, TCAs also alter your levels of neurotransmitters. Tricyclic antidepressants aren’t used as often today because they can cause ...
When discontinuing an antidepressant with a short half-life, switching to a drug with a longer half-life (e.g., fluoxetine or citalopram) and then tapering, and eventually discontinuing, from that drug can decrease the severity of symptoms in some cases. [11]
There is support for the effectiveness of switching people to a different SSRI; 50% of people that were non-responsive after taking one SSRI were responsive after taking a second type. Switching people with treatment-resistant depression to a different class of antidepressants may also be effective.
[83] [85] [86] Higher doses of antidepressants seem to be more likely to produce emotional blunting than lower doses. [83] It can be decreased by reducing dosage, discontinuing the medication, or switching to a different antidepressant that may have less propensity for causing this side effect. [83]
Changing its stereochemistry affects the norepinephrine and serotonin concentration. Milnacipran is marketed as a racemic mixture . Effects of milnacipran reside in the (1 S ,2 R )-isomer and substitution of the phenyl group in the (1 S ,2 R )-isomer has negative impact on norepinephrine concentration. [ 39 ]
Among the patients who were switched to a different antidepressant, there was no significant difference among the different antidepressants. For level three, the remission rates based on the HAM-D symptom scale were 12.3% for mirtazapine and 19.8% for nortriptyline, although the difference was not large enough for statistical significance. [5]
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