Product Images Oxcarbazepine
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Product Label Images
The following 6 images provide visual information about the product associated with Oxcarbazepine NDC 70518-4465 by Remedyrepack Inc., 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.
Remedy_Label - Remedy Label
This is a description for Oxcarbazepine Tablets, with a dosage of 600 mg and a pack containing 30 tablets. The manufacturer is Breckenridge located in Boca Raton, FL. It is repackaged by RemedyRepack Inc. with an NDC number of 70518-4466-00. The lot number and expiration date are missing. The recommended storage temperature is between 20-25°C (68-77°F) with excursions permitted to 15-30°C (59-86°F). It is important to keep this medication out of the reach of children.*
Figure 1 - oxcarbazepine 02
This text provides information on the exit rate and the results of the log-rank test with a p-value of 0.0001. It also includes a table showing time on trial from the second day, with specific time points and days listed for the Treatment Group comparison. The Treatment Group consists of Oxcarbazepine and Placebo.*
Figure 2 - oxcarbazepine 03
This text provides information on seizure rate analysis using the log-rank test with a p-value of 0.046. It also includes a table showing the number of days from the 1st dose to the 1st seizure in the treatment groups Oxcarbazepine and Placebo.*
Figure 3 - oxcarbazepine 04
The text provides information about the exit rate and the log-rank test result with a p-value of 0.0001. It also includes a graph or data table showing time to exit in days for two treatment groups: HIGH and LOW.*
Figure 4 - oxcarbazepine 05
The text provides information on the exit rate with a p-value of 0.0001 from a log-rank test. It also includes a graph showing time to exit in days for a treatment labeled as "Treatment Grot - HIGH."*
* 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.