Oral Fluid Lab Test

ORDER THE 10 PANEL ORAL FLUID LAB TEST

ORDER THE 6 PANEL ORAL FLUID LAB TEST

What is Oral Fluid Drug Testing?
Oral fluid testing analyzes a saliva sample for parent drugs and their metabolites. An absorbent collection device is place in the mouth and the saliva collected is screened for drugs of abuse. Samples are checked to verify the saliva is human and undiluted. The Oral fluid drug test is a lab test. A collection kit is sent out. You would be responsible for doing the collection.

 Frequently Asked Questions About Oral Fluid Testing.

How Can I Pass An Oral Fluid Drug Test?
The lab has studied a wide range of adulterants and have not found any that can beat our oral fluid drug test system. Of course, donors may attempt to introduce something onto the pad or collection vial. This risk is highly unlikely since every collection is directly and easily observed. Dilution tactics often employed to beat urine tests are not effective in oral fluid testing.

How do you know if you have enough sample to test?
If the donor keeps the collection pad in his or her mouth for at least two minutes, as indicated on the package, there is enough to test. The collection pad is treated with salts to stimulate oral fluid secretion, making the process very reliable. In fact, based on experience from life insurance testing, only 1 in 10,000 samples report as insufficient for testing.

What Is The Period of Detection for an Oral Fluid Drug Testing?

Oral fluid testing can detect drugs in the saliva within 10 minutes of ingestion. Typical detection times for all oral fluid drug screenings are 24-36 hours. For some donors it can be up to 48 hours.

• Amphetamines - 24-36 hours
• Cocaine/Metabolite - 24-36 hours
• Opiates - 24-36 hours
• PCP - 24-36 hours
• THC/Metabolite - Less than 24 hours
• Both oral fluid panels include IgG human validity testing.
• Dose Response/Interpretation - Results should be considered as a positive or negative only. Levels of drugs found in oral fluid testing cannot be reliably used to make assumptions about donor usage. Google
  

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