Product Images Acyclovir
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 5 images provide visual information about the product associated with Acyclovir NDC 63629-2009 by Bryant Ranch Prepack, 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.
Table 1 provides the pharmacokinetic characteristics of Acyclovir including plasma protein binding, plasma elimination half-life and average oral bioavailability range. The plasma protein binding range is 9% to 1033%, the plasma elimination half-life range is 25 to 1033 hours, and the average oral bioavailability range is 10% to 20%. Note that the bioavailability decreases with increasing dose.*
This text presents information about the Acyclovir drug's peak and trough concentrations at steady state for different dosages of 200 mg, 400 mg, and 800 mg. The values for Coax (peak concentration) and Ctrough (trough concentration) are provided in mega per milliliter (mg/mL) units for each dosage.*
Table 3 shows the dosage adjustments needed for patients with different levels of renal impairment for a particular medication. The table lists the normal dosage along with the adjusted dosage regimen based on the patient's creatinine clearance levels. Depending on the creatinine clearance level, the dosing interval and dose (in mg) are modified accordingly.*
Acyclovir Capsule, USP is a prescription medicine that contains 200mg of Acyclovir per capsule. It is advised to keep this medicine and all other medicines out of reach of children. The capsules should be stored in a tight, light-resistant container at a temperature between 20° to 25°C (68° to 77°F). The container should have a child-resistant closure as defined in the USP. Furthermore, it should be protected from light. This medicine is available in 500 capsules and can only be dispensed with a doctor's prescription.*
* 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.