Aripiprazole
Product Images NDC 50090-4817

Product Visual Gallery

This gallery contains 8 technical images submitted to the FDA as part of the official labeling for Aripiprazole (NDC 50090-4817). 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

Fig1 (Aripiprazole Fig 1)

The given text seems to be a table showing the effect of various drugs on avipiprazole. The drugs are categorized based on the type of enzyme inhibition or induction they cause. The drugs include CYP3A and CYP2D6 inhibitors, ketoconazole, famodine, and valproate. The table also shows fold change and 90% confidence interval values for the PK Aripiprazole. The text does not provide any further context or information.*

FDA Label Image

Fig2 (Aripiprazole Fig 2)

Effect of various drugs on the metabolism and absorption of a drug called Aripiprazole is being studied. The drugs being studied are CYP3A Inhibitor ketoconazole, CYP206 Inhibitor iricine suc, CYP3AM Inducer cobomazepine and Gastric Acid Blocker famotaine. Other drugs like vapors and lorazepam are also being studied. The figure depicts the effect of Dehydro-Aipiprazole Food change under the influence of these drugs. Overall, the study examines how these drugs impact the pharmacokinetics of Aripiprazole.*

FDA Label Image

Fig3 (Aripiprazole Fig 3)

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Fig4 (Aripiprazole Fig 4)

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Fig5 (Aripiprazole Fig 5)

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Fig6 (Aripiprazole Fig 6)

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Str (Aripiprazole Str)

FDA Label Image

Label Image (Lbl500904817)

This is a medication label for Aripiprazole tablets, with a strength of 15 mg. It comes in a bottle of 30 tablets and should be stored at room temperature. The label also includes a reference number, "No. 6702-0".*

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