Leflunomide Tablet
Product Images NDC 42291-421

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 8 technical images submitted to the FDA as part of the official labeling for Leflunomide (NDC 42291-421). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Avkare, 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

420 30 10mg

420 30 10mg
This appears to be a partial output of a medication package or label. It includes information such as the NDC code (229142030), the drug name (Leflunom), the tablet strength (10mg), and potentially the manufacturer's name (KARE). However, due to the incomplete and fragmented nature of the text, it is difficult to provide a more detailed description or any usage instructions.*
FDA Label Image

421 30 20mg

421 30 20mg
This is a description of a medication called Leflunomide. The medication comes in tablet form with 30 tablets per prescription. The manufacturer is AvKare and the National Drug Code (NDC) is 42281-421.30. The medication is only available with a prescription (Rx Only).*
FDA Label Image

Figure1.jpg (Figure1)

FDA Label Image

Figure2.jpg (Figure2)

Figure2.jpg (Figure2)
The text provides a chart showing the percentage of ACR (American College of Rheumatology) responders over time for Trial 1. The chart has two data points at 6 and 12 months. The text includes abbreviations for different treatments, including pL, NTX, and LEF, and mentions the use of Last Observation Carried Forward. It is unclear what the context or purpose of this information is.*
FDA Label Image

Figure3.jpg (Figure3)

FDA Label Image

Figure4.jpg (Figure4)

FDA Label Image

Structure1.jpg (Structure1)

FDA Label Image

Structure2.jpg (Structure2)

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