Product Images Vilazodone

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 7 images provide visual information about the product associated with Vilazodone NDC 42291-949 by Avkare, 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.

10 - 10mg Label

10 - 10mg Label

20 - 20mg Label

20 - 20mg Label

40 - 40mg Label

40 - 40mg Label

The structural formula for Vilazodone HCl - vilazodone tablets 01

The structural formula for Vilazodone HCl - vilazodone tablets 01

Figure 1. Effect of Other Drugs on Vilazodone Pharmacokinetics - vilazodone tablets 02

Figure 1. Effect of Other Drugs on Vilazodone Pharmacokinetics - vilazodone tablets 02

The text mentions changes in relation to PK Fold Change and 90% C1 with respect to various substances like Ethanol, CYP3A4 Inhibitors such as Ketoconazole, Proton Pump Inhibitors like Pantoprazole, and provides data related to Cmax and Auc levels. It seems to be discussing the impact of different substances on pharmacokinetics.*

Figure 2. Impact of Vilazodone on Other Drug Pharmacokinetics - vilazodone tablets 03

Figure  2. Impact of Vilazodone on Other Drug Pharmacokinetics - vilazodone tablets 03

Figure 3: Impact of Intrinsic Factors on Vilazodone Pharmacokinetics - vilazodone tablets 04

Figure 3: Impact of Intrinsic Factors on Vilazodone Pharmacokinetics - vilazodone tablets 04

Population Description K Fold Change and 90% CI. This text seems to contain information about population characteristics, including age groups, gender, renal impairment levels, and hepatic impairment levels, along with K Fold Change data and 90% Confidence Intervals. It also references changes relative to a reference with values shown on a graph or table. The data appears to be organized in a structured format for analysis or comparison.*

* 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.