3.3.7Interactions with the Environment
Testing New Drugs
5 min read 7 parts Lesson 24 of 27 Unit quiz
Section 1 of 7What testing must show
Toxicity
- Toxicity Is the drug harmful, and what side effects does it cause?
- A drug is only useful if its benefits clearly outweigh any harm it does.
Efficacy
- Efficacy Does the drug actually work against the condition?
- It must produce a bigger improvement than no treatment or a placebo.
Dose
- Dose What is the lowest dose that still gives a benefit?
- Too low a dose does nothing, while too high a dose raises the risk of side effects.
Review
- Review Results are checked by other scientists (peer review) and then published in journals.
- Other laboratories can then repeat the work to confirm the findings.
Section 2 of 7Stages of development
1Preclinical
- Preclinical Tested on cells and tissues in a laboratory, and by computer models, for toxicity and efficacy.
2Animal testing
- Animal testing Tested on live animals, in the UK on two different species by law, to see effects on a whole organism,
- including how the drug is absorbed and removed.
3Clinical trials
- Clinical trials First healthy volunteers receive a very low dose to check safety, then the dose is raised gradually.
4Patient trials
- Patient trials Patients with the condition then test doses to find the best one and to confirm that the drug works.
Section 3 of 7Running a fair clinical trial
1
Recruit a large group of patients with the condition, chosen to have similar age, sex and severity of illness.
2
Split them at random into two groups, one given the drug and the other a placebo that looks, tastes and is taken in exactly the same way.
3
Make it a double-blind study: neither the patients nor the doctors know who has which until the end.
4
Measure the same outcome in every patient over the same period, for example blood pressure or number of symptoms.
5
Compare the improvement in each group and look for a real difference that is larger than chance would explain.
6
Have the results checked by independent scientists before the drug is approved for general use.
Section 4 of 7Why each feature is used
| Feature | Purpose |
|---|---|
| Placebo | Shows whether improvement is caused by the drug and not by belief in treatment |
| Double-blind | Stops bias in how patients report effects or how doctors judge them |
| Large sample | Makes the results more reliable and less affected by chance |
| Random allocation | Spreads differences between people evenly across both groups |
| Starting with a low dose | Protects volunteers from harm if the drug is more toxic than expected |
| Peer review | Independent experts check the methods and conclusions before publication |
Section 5 of 7Worked example: interpreting a trial
Trial of a new blood pressure drug
Set-up
- Set-up 200 patients are split randomly into 100 on the drug and 100 on a placebo for 12 weeks.
Result
- Result Average blood pressure falls by 15 mmHg in the drug group and by 3 mmHg in the placebo group.
Conclusion
- Conclusion Subtracting the placebo effect, the drug appears to cause a fall of about 12 mmHg, which suggests it is effective.
Next steps
- Next steps Side effects are compared, and other scientists review the data before the drug is approved.
Section 6 of 7Key terms
| Term | Meaning |
|---|---|
| Toxicity | How harmful a substance is to the body. |
| Efficacy | How well a drug produces its intended effect. |
| Placebo | A dummy treatment that contains no active drug. |
| Double-blind trial | A trial in which neither patients nor doctors know who gets the real drug. |
| Peer review | Evaluation of scientific work by independent experts before it is published. |
| Clinical trial | A test of a new drug on human volunteers or patients. |
Section 7 of 7Exam technique
1
Saying a placebo is a weaker version of the drug. It contains no active ingredient at all.
2
Describing a single-blind trial as double-blind. Both patients and doctors must be unaware.
3
Giving the first human dose as a high one. Early doses are very low.
4
Forgetting that animal and cell tests come before any human trial.
5
Judging a drug from a small trial. Large samples are needed for reliable conclusions.