Venlafaxine Hydrochloride Capsule, Extended Release
Product Images NDC 50090-7317

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 5 technical images submitted to the FDA as part of the official labeling for Venlafaxine Hydrochloride (NDC 50090-7317). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by A-s Medication Solutions, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

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Image-01 (Image 01)
This text mentions "venlafaxine hydrochloride," which is a medication used to treat depression and anxiety disorders. It belongs to a class of drugs called serotonin-norepinephrine reuptake inhibitors (SNRIs). Venlafaxine hydrochloride helps to improve mood, energy levels, and feelings of well-being.*
FDA Label Image

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This text provides information on special populations such as those with Hepatic (cirrhosis), Hepatic impairment, moderate impairment, Renal impairment, hemodialysis, CYP2D6 polymorphism, poor/extensive metabolizers, age (>80 years), and gender (females/males). It also lists different analytes related to venlafaxine with variations in metabolites and fold change values relative to the reference. Additionally, it includes PK data and values for change relative to the reference value.*
FDA Label Image

Image-03 (Image 03)

FDA Label Image

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This is a list of interacting drugs and analytes, including names like Ethanor, Diazepam, Alprazolam, Metoprolol, Risperidone, Imipramine, Caffeine, Tolbutamide, Lithium, and Ethanol. The list also includes different variations or metabolites of some drugs. The text mentions active moieties and fold change with 90% confidence intervals for some substances.*
FDA Label Image

Label Image (Lbl500907317)

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.