Oxycodone And Acetaminophen Tablet
Product Images NDC 71335-9674

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Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Oxycodone And Acetaminophen (NDC 71335-9674). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Bryant Ranch Prepack, 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

Label (Lbl713359674)

Label (Lbl713359674)
This is a description of a medication that contains Oxycodone and Acetaminophen. Each tablet contains 5 mg of Oxycodone hydrochloride and 325 mg of Acetaminophen USP. The medication may cause drowsiness and must be stored at 20° to 25°C (68° to 77°F) with excursions permitted to 15° to 30°C (59° to 86°F). There is a risk of overdose and addiction, and the medication should be taken with caution. The tablets are repackaged by Bryant Ranch Prepack, Inc. and manufactured by Mylan Pharmaceuticals Inc. This medication requires a prescription (Rx only).*
FDA Label Image

01 (Oxycodone And Acetaminophen Tablets 1)

01 (Oxycodone And Acetaminophen Tablets 1)
This appears to be the chemical formula and molecular weight for the compound "C1gHyNO" with a hydrochloride (HCI) salt, which has a molecular weight of 351.82 g/mol. However, without more context it is not possible to determine the chemical name or purpose of the compound.*
FDA Label Image

02 (Oxycodone And Acetaminophen Tablets 2)

02 (Oxycodone And Acetaminophen Tablets 2)
The given text represents a chemical formula or structure with the initial group of letters indicating a chemical compound. The molecular weight of the compound is specified as 151.17. Without further context or information, it is not possible to determine the name or properties of the compound.*

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