Product Images Acyclovir
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 7 images provide visual information about the product associated with Acyclovir NDC 68084-109 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.
Acyclovir is a medication available in tablet form in a pack of 100 tablets. Each tablet contains Acyclovir USP 400mg. It is used as per prescription and the dosage can be found in the package insert. It should be stored between 20°C to 25°C (68°F to 77°F) and protected from moisture. Children should not come in contact with this medication. It should not be used if the blister is broken or torn. The manufacturer of this drug in this package is American Health Packaging and the NDC number is 60505-5306.*
Acyclovir is a prescription drug available in the form of tablets with NDC 68084-109-01. It comes in a bottle containing 100 tablets (10 x 10) and should be taken only under the supervision of a healthcare professional. Each tablet contains Acyclovir USP 400mg. The drug should be stored at room temperature between 20°C to 25°C, with excursions allowed between 15°C to 30°C, and protected from moisture. The package also contains a warning for not using the product if the blister is broken, and keeping it out of reach of children. The drug is distributed by American Health Packaging, based in Columbus, Ohio. More information can be found in the package insert.*
This is a list of different products and dosages for Acyclovir, a medication used to treat viral infections. All of them are presented as tablets in a dosage of 400 mg. Some tablets are referred to as 400g and others as 400mg. The text also includes various codes and numbers that presumably refer to production, manufacturing, or distribution logistics.*
* 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.