Acyclovir Capsule
Product Images NDC 69117-0039

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 7 technical images submitted to the FDA as part of the official labeling for Acyclovir (NDC 69117-0039). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Yiling Pharmaceutical, 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

200mg-100s (200mg 100s)

FDA Label Image

200mg-500s (200mg 500s)

200mg-500s (200mg 500s)
Each capsule contains Acyclovir, USP 200 mg. The medication should be stored in a cool and dry place, away from light and moisture, at a temperature of 20° to 25°C (68° to 77°F). The capsules should be stored in tight containers. The prescribing information should be consulted for dosage information. The medication is manufactured by Yiling Pharmaceutical Ltd in China and distributed by Yiling Pharmaceutical, Inc. based in Las Vegas, NV. NDC number is 69117-0039-2. The code "Rev 03/2021" and "L00470" are also mentioned. The other text such as "225mm" and "65mm" are not applicable or relevant to the description.*
FDA Label Image

400mg 100s

FDA Label Image

400mg 500s

FDA Label Image

800mg 100s

FDA Label Image

800mg 500s

800mg 500s
Each tablet contains Acyclovir, USP 800mg manufactured by NDG and distributed by Yiling Pharmaceutical Inc. These tablets should be stored at 20°C to 25°C and protected from light and moisture. The safety seal under the cap should not be broken or missing, and the tablets should be dispensed in a tight container as defined in the USP. This prescription medication should only be used as prescribed and with dosage information from a healthcare provider.*
FDA Label Image

Structural Formula (Structural Formula)

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