Product Images Hydrocodone Bitartrate And Acetaminophen

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Product Label Images

The following 6 images provide visual information about the product associated with Hydrocodone Bitartrate And Acetaminophen NDC 68084-895 by American Health Packaging, 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.

AHP89501

AHP89501

Acetaminophen Structure

Acetaminophen Structure

Hydrocodone Structure

Hydrocodone Structure

image 01

image 01

This is a description of a prescription medication with NDC number 68084-895-09. It contains Hydrocodone Bitartrate and Acetaminophen USP and comes in the form of 80 tablets, each tablet containing 5mg of Hydrocodone Bitartrate and 325mg of Acetaminophen. The medication is prescribed to manage pain, with instructions for the usual adult dosage of 1 to 2 tablets every 4 to 6 hours. The packaging advises to keep the drugs out of reach of children, to not consume broken tablets, and provides storage instructions for the medication. The package is distributed by American Health Packaging of Ohio.*

image 02

image 02

This is a description of a medication with NDC code 68084-895-01. It contains Hydrocodone Bitartrate and Acetaminophen, is available in tablet form, and each tablet has 5 mg of Hydrocodone Bitartrate and 325 mg of Acetaminophen. The package contains 100 tablets (10x10) and is available only on prescription. The usual adult dosage is one or two tablets every six hours, not exceeding eight tablets per day. The medication should be stored at a controlled room temperature between 15-30°C. The package insert contains more information about the medication and prescriber information. DEA order form is required. The package contains the name of the manufacturer and distributor, Amneal Pharmaceuticals, and American Health Packaging, respectively.*

image 03

image 03

* 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.