Product Images Oxycodone And Acetaminophen

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Oxycodone And Acetaminophen NDC 67296-1392 by Redpharm Drug, Inc., such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

67296 1392

67296 1392

This is a typical label found on medication, specifically Oxycodone HCl and Acetaminophen, with 5 mg/325 mg strength. The labels contain information about the manufacturer, distributors, and lot number, as well as the expiration date, number of tablets and usual adult dosage. The storage temperature is reported to control the room temperature of 20-25 C.*

OxyApap 67296 1392 9

OxyApap 67296 1392 9

This is a description of a prescription drug with the NDC code 67296-1392-9 for Oxycodone HCL & Acetaminophen. The drug is available only by prescription and is sold in a package with four tablets. The lot number is 8020A1X1 with an expiration date of 11/20. The usual adult dosage is described on the package insert, and it should be stored at controlled room temperature. The manufacturer is Aurobindo Pharma USA Inc, located in Dayton, NJ, and the distributor is Redpharm Drug in Eden Prairie, MN, with a SIN of 264830.*

OXY/APAP 5/325 - doc20170526144506 001

OXY/APAP 5/325 - doc20170526144506 001

This is a description of various types and sizes of Oxycodone HCL & Acetaminophen pills manufactured by Aurolife Pharma LLC and distributed by Redpharm Drug. Each variant has a different NDC number, lot number, and expiration date. The usual adult dosage is mentioned on each package insert, and these pills should be stored at a controlled room temperature of 20-25 C (68-77 F). There are different amounts of tablets in each package, ranging from 6 tablets to 60 tablets. *

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.