ReviewClinical pharmacokinetics1998
Metabolism of the newer antidepressants. An overview of the pharmacological and pharmacokinetic implications.
Review in Clinical pharmacokinetics, 1998. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
43 citing papers in PubMed, 176 citations in OpenAlex.
- Single- and Multiple-Dose Milnacipran Pharmacokinetics in Healthy Han Chinese Volunteers.Clinical pharmacokinetics · 2016Trial
- Effect of fluoxetine on the pharmacokinetics of lansoprazole: a two-treatment period study in healthy male subjects.Clinical drug investigation · 2011Trial
- The effect of itraconazole on the pharmacokinetics and pharmacodynamics of bromazepam in healthy volunteers.European journal of clinical pharmacology · 2003Trial
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- The Repurposing of FDA-Approved Drugs as FtsZ Inhibitors againstMicroorganisms · 2024Article
- [European journal of nuclear medicine and molecular imaging · 2023Article
- Precision Medicine in Antidepressants Treatment.Handbook of experimental pharmacology · 2023Review
- Kidney function and prescribed dose in middle-aged and older patients starting selective serotonin reuptake inhibitors.Pharmacoepidemiology and drug safety · 2022Article
- Neuroanatomical, Biochemical, and Functional Modifications in Brain Induced by Treatment with Antidepressants.Molecular neurobiology · 2022Review
- Early Biological Modulations Resulting from 1-Week Venlafaxine Exposure of Marine MusselsMetabolites · 2022Article
- High risk of drug toxicity in social isolation stress due to liver dysfunction: Role of oxidative stress and inflammation.Brain and behavior · 2021Article
- Understanding genetic risk factors for common side effects of antidepressant medications.Communications medicine · 2021Article
- Antidepressant-Like Activity of Typical Antidepressant Drugs in the Forced Swim Test and Tail Suspension Test in Mice Is Augmented by DMPX, an Adenosine ANeurotoxicity research · 2019Article
- DPCPX, a selective adenosine A1 receptor antagonist, enhances the antidepressant-like effects of imipramine, escitalopram, and reboxetine in mice behavioral tests.Naunyn-Schmiedeberg's archives of pharmacology · 2018Article
- Enantioselective transformation of fluoxetine in water and its ecotoxicological relevance.Scientific reports · 2017Article
- Lateral diffusion of Gαs in the plasma membrane is decreased after chronic but not acute antidepressant treatment: role of lipid raft and non-raft membrane microdomains.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2015Article
- Active metabolites as antidepressant drugs: the role of norquetiapine in the mechanism of action of quetiapine in the treatment of mood disorders.Frontiers in psychiatry · 2013Review
- Psychiatric morbidity and other factors affecting treatment adherence in pulmonary tuberculosis patients.Tuberculosis research and treatment · 2013Article
- PharmGKB summary: citalopram pharmacokinetics pathway.Pharmacogenetics and genomics · 2011Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Several chemically unrelated agents has been developed and introduced in the past decade, to supplement the earlier antidepressants. These include inhibitors of the reuptake of serotonin [the selective serotonin reuptake inhibitors (SSRI)] or noradrenaline (reboxetine) or both (milnacipran and venlafaxine), as well as drugs with distinct neurochemical profiles such as mirtazapine, nefazodone, moclobemide and tianeptine. Like the earlier drugs, these newer antidepressants are almost totally biotransformed before excretion, except for milnacipran whose clearance appears to be due equally to both urinary excretion and metabolism. Sometimes--as in the case of moclobemide--up to 20 metabolites have been identified in body fluids. In some cases, however, only a few metabolites have been detected, and a substantial proportion of the dose remains unaccounted for (e.g. fluoxetine and fluvoxamine). Metabolism generally proceeds through sequential or parallel oxidative pathways. These may be affected to varying degrees by physiological and pathological factors and those mediated by cytochrome P450 (CYP) 2D6 and CYP2C19 through genetic polymorphism. Some are influenced by chirality (e.g. the dealkylation of citalopram and fluoxetine), although information on this aspect of disposition is still lacking for other drugs existing as racemates (e.g. mirtazapine and tianeptine) and milnacipran, which is probably a mixture of 4 stereoisomers. Others again are saturable within the therapeutic range of doses (e.g. some pathways of metabolism of fluoxetine, fluvoxamine, nefazodone, paroxetine and venlafaxine). This may explain the individual variability with all these drugs which, from the pharmacokinetic point of view, is the same as with tricyclic agents. Our knowledge of the isoenzymes involved in the various oxidation pathways and their relevance for potential drug interactions varies from a considerable amount for most of the SSRI and nefazodone, to minimal for reboxetine and tianeptine. This information is useful for predicting the pharmacokinetic interactions mediated through inhibition of specific isoenzymes. This would be better appreciated if the enzymatic mechanisms involved in the biotransformation of the metabolite(s), and their role in drug interactions, were also known. This information is still lacking for some drugs, although metabolites may exhibit in vitro inhibitory potencies of similar to (paroxetine and its M2 metabolite as inhibitors of CYP2D6) or even greater than that of the parent drug (norfluoxetine is more potent than fluoxetine as an inhibitor of CYP3A3/4, and in view of the longer half-life (t1/2) of the metabolite the potential for interactions may persist for weeks after discontinuation of the parent drug). While we do know something about the biological activity of the metabolites of some of these drugs, we know very little about others. With few exceptions this knowledge refers only to the major metabolite(s) and regards the main in vitro effects as exerted by the parent drug. However, in vitro potency and selectivity may not translate directly into in vivo, and either major or minor metabolites may have characteristic in vitro and in vivo properties. For example, unlike the parent drug some minor ring-opened metabolites of moclobemide have monoamine oxidase-B inhibitory activity in the rat, and the nefazodone metabolite m-chlorophenyl-piperazine shows activity on 5-HT2C receptors in rats and humans. Data on the brain-to-blood partition of metabolites compared with their parent drug are available only in a few cases. They are still not known for the main metabolites of fluvoxamine, milnacipran, mirtazapine, moclobemide, nefazodone, paroxetine, reboxetine and venlafaxine, despite the fact that total blood concentrations do not always reflect the metabolite: parent drug ratio in brain. Thus, in most cases, we do not really know what part hepatic metabolism plays in the overall effect of the administered parent drug.
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