Methadone Hydrochloride
Product Images NDC 52959-435

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Methadone Hydrochloride (NDC 52959-435). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by H.j. Harkins Company Inc., 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

Principal Display Panel (5 mg bottle)

Principal Display Panel (5 mg bottle)
This is an information label of a medication called Methadone HCL 5mg tablet manufactured by Mallinckro and given an NDC code of 0406-5755-01. The label also shows lot number MTDOOML, expiration date of 12/11, and dosage information. The label cautions that Federal law prohibits transfer of the medication to others, and advises users to take the medication as directed by their doctor. The package contains 30 tablets.*
FDA Label Image

Principal Display Panel (10 mg bottle)

Principal Display Panel (10 mg bottle)
This is a description of a Methadone HCL 10mg Tablet with the lot number MDT02ML and manufactured by Mallinckrodt Pharmaceuticals. It is located in St. Louis, MO and should be taken only as directed by a doctor or by following the usual dosage information provided in the outsert. No dosage information is given in the due to the limitations of the system. There is a warning on this medication that federal law prohibits transfer to any person other than the patient for whom it was prescribed. The pill ID is a white rectangle and the manufacturer's NDC is 0406-5771-01. There are other packaging options with different lot numbers that are also listed in the text.*
FDA Label Image

Chemical Structure (Methadone 01)

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