Intuniv
Product Images NDC 64725-0513

Product Visual Gallery

This gallery contains 5 technical images submitted to the FDA as part of the official labeling for Intuniv (NDC 64725-0513). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Tya Pharmaceuticals, 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 Image (64725 0513)

Intuniy ER 1mg tablet is a medication manufactured by Shire, and packaged in a bottle containing 100 tablets. The repackaging of this medication was done by T.Y.A Pharmaceuticals, located in Tallahassee, FL, USA. The medication's dose information is available in the package insert. Lot number and expiry date were also provided.*

FDA Label Image

Label Image (64725 0515)

This is a description of a medication called "INTUNIV 2HG TABLET". The bottle contains 30 tablets and the medicine is prescribed only under the direction of a physician. The medicine has a lot number of "00" and the expiration date is not available. The manufacturer of the medicine is Shire. The medicine is packaged by 7y.A Pharmaceuticals, located at 2080 Crescent Dr. in Tallahassee, FL. However, the dosage of the medication is not provided in the text and is available only in the package insert.*

FDA Label Image

Figure 1 (Intuniv 01)

FDA Label Image

Figure 2 (Intuniv 02)

This is a pharmacological study on the interaction of oral Methylphenidate and Lisdexamfetamine Dimesylate. The study assesses PK (pharmacokinetics) parameters like AuC, Avc, fold change, and 90% CT. Based on the results, the recommendation is that no adjustment is required for the drug interaction. However, the context and purpose of the study are not available.*

FDA Label Image

Spd503-chemical-stucture (Intuniv 03)

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